figure_s1_01_dge.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f42aca45",
   "metadata": {},
   "source": [
    "# load library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3923e930",
   "metadata": {},
   "outputs": [],
   "source": [
    "source(\"r/jupyter_common.R\")\n",
    "\n",
    "source(\"r/enrichment_analysis.R\")\n",
    "source(\"r/find_markers.R\")\n",
    "source(\"r/identify_cell_types.R\")\n",
    "source(\"r/plot_sc_clusters.R\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "076042f0",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# data structure\n",
    "suppressPackageStartupMessages(library(stringi))\n",
    "suppressPackageStartupMessages(library(forcats))\n",
    "\n",
    "# utils\n",
    "suppressPackageStartupMessages(library(amap)) # for Dist()\n",
    "suppressPackageStartupMessages(library(matrixStats))\n",
    "suppressPackageStartupMessages(library(scales))\n",
    "\n",
    "# scRNA-seq\n",
    "suppressPackageStartupMessages(library(Seurat))\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bfa7459",
   "metadata": {},
   "source": [
    "## parallel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bdaa516f",
   "metadata": {},
   "outputs": [],
   "source": [
    "suppressPackageStartupMessages(library(future))\n",
    "plan(\"multicore\", workers = 8)\n",
    "\n",
    "options(future.globals.maxSize = 5 * 1024^3) # 5GB\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3076641a",
   "metadata": {},
   "source": [
    "# parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7204f433",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "'normal-breast-pairs'"
      ],
      "text/latex": [
       "'normal-breast-pairs'"
      ],
      "text/markdown": [
       "'normal-breast-pairs'"
      ],
      "text/plain": [
       "[1] \"normal-breast-pairs\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "'RNA_snn_res.0.8'"
      ],
      "text/latex": [
       "'RNA\\_snn\\_res.0.8'"
      ],
      "text/markdown": [
       "'RNA_snn_res.0.8'"
      ],
      "text/plain": [
       "[1] \"RNA_snn_res.0.8\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "'umap'"
      ],
      "text/latex": [
       "'umap'"
      ],
      "text/markdown": [
       "'umap'"
      ],
      "text/plain": [
       "[1] \"umap\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "'cluster.type'"
      ],
      "text/latex": [
       "'cluster.type'"
      ],
      "text/markdown": [
       "'cluster.type'"
      ],
      "text/plain": [
       "[1] \"cluster.type\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cancer_type <- \"normal-breast-pairs\"\n",
    "\n",
    "args <- list()\n",
    "args$cancer_type <- \"normal-breast\"\n",
    "args$method_to_identify_cell_types <- \"singler_blueprint_encode\"\n",
    "args$seurat_resolution <- 0.8\n",
    "args$harmony_theta <- 0\n",
    "\n",
    "str_column_of_meta_data_cluster <- sprintf(\"RNA_snn_res.%g\", args$seurat_resolution)\n",
    "str_column_of_meta_data_harmony <- sprintf(\"RNA_harmony_th.%s\", paste(args$harmony_theta, collapse=\",\"))\n",
    "\n",
    "str_reduction <- \"pca\"\n",
    "str_umap_reduction <- \"umap\"  \n",
    "col_cluster_types <- \"cluster.type\"\n",
    "\n",
    "str_condition <- cancer_type\n",
    "\n",
    "str_condition\n",
    "str_column_of_meta_data_cluster\n",
    "str_umap_reduction\n",
    "col_cluster_types\n",
    "\n",
    "figure_format <- \"pdf\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4121f0a",
   "metadata": {},
   "source": [
    "## set.seed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "60200569",
   "metadata": {},
   "outputs": [],
   "source": [
    "# set seed for reproducibility\n",
    "set.seed(51)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bb58886",
   "metadata": {},
   "source": [
    "## display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9dcd2205",
   "metadata": {},
   "outputs": [],
   "source": [
    "options(repr.matrix.max.cols=150, repr.matrix.max.rows=50)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d44885a",
   "metadata": {},
   "source": [
    "## nv_cell_type_conversion_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "62be71a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "nv_cell_type_conversion_table <- c(\n",
    "    \"LEp_prog\"=\"Luminal epi. prog\",\n",
    "    \"LEp_secretory\"=\"Luminal epi. secretory\",\n",
    "    \"LEp\"=\"Mature luminal epi.\",\n",
    "    \"LEp_hormone\"=\"Luminal epi. hormone\",\n",
    "    \"BEp\"=\"Basal epi.\",\n",
    "    \"BEp_myo\"=\"Basal epi. myoepithelial\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "589fe403",
   "metadata": {},
   "source": [
    "# read scRNA-seq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d5f0426d",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "dir_rna <- \"/home/hkim77/spanheimer_lab.w/sc-rna-seq/tr-bc/run-20220121\"\n",
    "fname_rna <- sprintf(\"%s/output/rds_%s/%s_sc-rna-seq_merged_seurat_obj.rds\", dir_rna,\n",
    "                    cancer_type, cancer_type)\n",
    "\n",
    "rna <- readRDS(fname_rna)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e71853e",
   "metadata": {},
   "source": [
    "## mapping sample IDs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a2e105e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_id_map <- read.table(\"tsv/sample_id_mapping_table.tsv\",\n",
    "                     sep=\"\\t\",\n",
    "                     header=T,\n",
    "                     row.names=1)\n",
    "\n",
    "idx <- match(rna@meta.data[, \"Sample\"], rownames(df_id_map))\n",
    "rna@meta.data[, \"Sample\"] <- df_id_map[idx, 1]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f72d42a",
   "metadata": {},
   "source": [
    "## n_samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b8c91128",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>'Normal_01_Control'</li><li>'Normal_01_Tamoxifen'</li><li>'Normal_02_Control'</li><li>'Normal_02_Tamoxifen'</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'Normal\\_01\\_Control'\n",
       "\\item 'Normal\\_01\\_Tamoxifen'\n",
       "\\item 'Normal\\_02\\_Control'\n",
       "\\item 'Normal\\_02\\_Tamoxifen'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'Normal_01_Control'\n",
       "2. 'Normal_01_Tamoxifen'\n",
       "3. 'Normal_02_Control'\n",
       "4. 'Normal_02_Tamoxifen'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] \"Normal_01_Control\"   \"Normal_01_Tamoxifen\" \"Normal_02_Control\"  \n",
       "[4] \"Normal_02_Tamoxifen\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "4"
      ],
      "text/latex": [
       "4"
      ],
      "text/markdown": [
       "4"
      ],
      "text/plain": [
       "[1] 4"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "samples <- unique(rna@meta.data$Sample)\n",
    "samples\n",
    "\n",
    "n_samples <- length(samples)\n",
    "n_samples\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "309d3ac2",
   "metadata": {},
   "source": [
    "## list_samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2712efff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<dl>\n",
       "\t<dt>$Normal_01</dt>\n",
       "\t\t<dd><dl>\n",
       "\t<dt>$control</dt>\n",
       "\t\t<dd>'Normal_01_Control'</dd>\n",
       "\t<dt>$treatment</dt>\n",
       "\t\t<dd>'Normal_01_Tamoxifen'</dd>\n",
       "</dl>\n",
       "</dd>\n",
       "\t<dt>$Normal_02</dt>\n",
       "\t\t<dd><dl>\n",
       "\t<dt>$control</dt>\n",
       "\t\t<dd>'Normal_02_Control'</dd>\n",
       "\t<dt>$treatment</dt>\n",
       "\t\t<dd>'Normal_02_Tamoxifen'</dd>\n",
       "</dl>\n",
       "</dd>\n",
       "</dl>\n"
      ],
      "text/latex": [
       "\\begin{description}\n",
       "\\item[\\$Normal\\_01] \\begin{description}\n",
       "\\item[\\$control] 'Normal\\_01\\_Control'\n",
       "\\item[\\$treatment] 'Normal\\_01\\_Tamoxifen'\n",
       "\\end{description}\n",
       "\n",
       "\\item[\\$Normal\\_02] \\begin{description}\n",
       "\\item[\\$control] 'Normal\\_02\\_Control'\n",
       "\\item[\\$treatment] 'Normal\\_02\\_Tamoxifen'\n",
       "\\end{description}\n",
       "\n",
       "\\end{description}\n"
      ],
      "text/markdown": [
       "$Normal_01\n",
       ":   $control\n",
       ":   'Normal_01_Control'\n",
       "$treatment\n",
       ":   'Normal_01_Tamoxifen'\n",
       "\n",
       "\n",
       "\n",
       "$Normal_02\n",
       ":   $control\n",
       ":   'Normal_02_Control'\n",
       "$treatment\n",
       ":   'Normal_02_Tamoxifen'\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "$Normal_01\n",
       "$Normal_01$control\n",
       "[1] \"Normal_01_Control\"\n",
       "\n",
       "$Normal_01$treatment\n",
       "[1] \"Normal_01_Tamoxifen\"\n",
       "\n",
       "\n",
       "$Normal_02\n",
       "$Normal_02$control\n",
       "[1] \"Normal_02_Control\"\n",
       "\n",
       "$Normal_02$treatment\n",
       "[1] \"Normal_02_Tamoxifen\"\n",
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "2"
      ],
      "text/latex": [
       "2"
      ],
      "text/markdown": [
       "2"
      ],
      "text/plain": [
       "[1] 2"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "list_samples <- list()\n",
    "\n",
    "u_samples <- unique(gsub(\"_Control|_Tamoxifen\", \"\", samples))\n",
    "for (sample in u_samples) {\n",
    "    list_samples[[sample]]$control <- sprintf(\"%s_Control\", sample)\n",
    "    list_samples[[sample]]$treatment <- sprintf(\"%s_Tamoxifen\", sample)\n",
    "}\n",
    "\n",
    "list_samples\n",
    "length(list_samples)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b6a0aa0",
   "metadata": {},
   "source": [
    "## mtx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7ec03ccf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6 x 3 sparse Matrix of class \"dgCMatrix\"\n",
       "           49758L_12hrSUS_E2#AAACCCAAGTCAGGGT-1\n",
       "AL627309.1                                    .\n",
       "AL669831.2                                    .\n",
       "AL669831.5                                    .\n",
       "FAM87B                                        .\n",
       "LINC00115                                     .\n",
       "FAM41C                                        .\n",
       "           49758L_12hrSUS_E2#AAACCCACATCACAGT-1\n",
       "AL627309.1                                    .\n",
       "AL669831.2                                    .\n",
       "AL669831.5                                    .\n",
       "FAM87B                                        .\n",
       "LINC00115                                     .\n",
       "FAM41C                                        .\n",
       "           49758L_12hrSUS_E2#AAACCCATCTCAATCT-1\n",
       "AL627309.1                                    .\n",
       "AL669831.2                                    .\n",
       "AL669831.5                                    .\n",
       "FAM87B                                        .\n",
       "LINC00115                                     .\n",
       "FAM41C                                        ."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if (DefaultAssay(rna) == \"integrated\") {\n",
    "    mtx <- GetAssayData(object = rna, assay=NULL, slot = \"data\")\n",
    "} else {\n",
    "    mtx <- GetAssayData(object = rna, assay=\"RNA\", slot = \"data\")\n",
    "}\n",
    "head(mtx[,1:3])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4b1ca83",
   "metadata": {},
   "source": [
    "## list_sort"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "85338a05",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "\n",
    "list_sort <- sort_cluster_members(rna, args,\n",
    "                    col_cluster_types = col_cluster_types,\n",
    "                    str_umap_reduction = str_umap_reduction,\n",
    "                    f_merge_immune_cell = FALSE)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6d797c5",
   "metadata": {},
   "source": [
    "## colors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51c48343",
   "metadata": {},
   "source": [
    "### samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "33ca7729",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>'#A6CEE3'</li><li>'#1F78B4'</li><li>'#B2DF8A'</li><li>'#33A02C'</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item '\\#A6CEE3'\n",
       "\\item '\\#1F78B4'\n",
       "\\item '\\#B2DF8A'\n",
       "\\item '\\#33A02C'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. '#A6CEE3'\n",
       "2. '#1F78B4'\n",
       "3. '#B2DF8A'\n",
       "4. '#33A02C'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] \"#A6CEE3\" \"#1F78B4\" \"#B2DF8A\" \"#33A02C\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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s5N9BwATkHv5v7ih8vCI+tMmDCBD40GKo+GBlxKZmZm/yeesGr0wX1f42neAP6T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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420.6,
       "width": 480.6
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make patient sample metadata and color assignments \n",
    "\n",
    "if (n_samples <= 12){\n",
    "    sampleColors <- brewer.pal(n_samples, \"Paired\")\n",
    "} else {\n",
    "    vec_color1 <- colorRampPalette(brewer.pal(9, \"Set1\"))(n_samples/2)\n",
    "    vec_color2 <- colorspace::lighten(vec_color1, amount=0.4)\n",
    "    sampleColors <- c(rbind(vec_color1, vec_color2))\n",
    "}\n",
    "sampleColors\n",
    "\n",
    "options(repr.plot.width=8.01, repr.plot.height=7.01)\n",
    "pie(rep(1,n_samples), col=sampleColors) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5592178",
   "metadata": {},
   "source": [
    "### epi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e22da6f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>'Epithelial cells'</li><li>'Epi. Non-tumor'</li><li>'LEp_prog'</li><li>'LEp_secretory'</li><li>'LEp'</li><li>'LEp_hormone'</li><li>'BEp'</li><li>'BEp_MaSCs'</li><li>'BEp_myo'</li><li>'Epi. Unassigned'</li><li>'Epi. Tumor'</li><li>'Normal-like'</li><li>'NBL'</li><li>'Basal'</li><li>'CLow'</li><li>'Her2E'</li><li>'LumA'</li><li>'LumB'</li><li>'Keratinocytes'</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'Epithelial cells'\n",
       "\\item 'Epi. Non-tumor'\n",
       "\\item 'LEp\\_prog'\n",
       "\\item 'LEp\\_secretory'\n",
       "\\item 'LEp'\n",
       "\\item 'LEp\\_hormone'\n",
       "\\item 'BEp'\n",
       "\\item 'BEp\\_MaSCs'\n",
       "\\item 'BEp\\_myo'\n",
       "\\item 'Epi. Unassigned'\n",
       "\\item 'Epi. Tumor'\n",
       "\\item 'Normal-like'\n",
       "\\item 'NBL'\n",
       "\\item 'Basal'\n",
       "\\item 'CLow'\n",
       "\\item 'Her2E'\n",
       "\\item 'LumA'\n",
       "\\item 'LumB'\n",
       "\\item 'Keratinocytes'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'Epithelial cells'\n",
       "2. 'Epi. Non-tumor'\n",
       "3. 'LEp_prog'\n",
       "4. 'LEp_secretory'\n",
       "5. 'LEp'\n",
       "6. 'LEp_hormone'\n",
       "7. 'BEp'\n",
       "8. 'BEp_MaSCs'\n",
       "9. 'BEp_myo'\n",
       "10. 'Epi. Unassigned'\n",
       "11. 'Epi. Tumor'\n",
       "12. 'Normal-like'\n",
       "13. 'NBL'\n",
       "14. 'Basal'\n",
       "15. 'CLow'\n",
       "16. 'Her2E'\n",
       "17. 'LumA'\n",
       "18. 'LumB'\n",
       "19. 'Keratinocytes'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       " [1] \"Epithelial cells\" \"Epi. Non-tumor\"   \"LEp_prog\"         \"LEp_secretory\"   \n",
       " [5] \"LEp\"              \"LEp_hormone\"      \"BEp\"              \"BEp_MaSCs\"       \n",
       " [9] \"BEp_myo\"          \"Epi. Unassigned\"  \"Epi. Tumor\"       \"Normal-like\"     \n",
       "[13] \"NBL\"              \"Basal\"            \"CLow\"             \"Her2E\"           \n",
       "[17] \"LumA\"             \"LumB\"             \"Keratinocytes\"   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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wCgvLHP7txLI7kmDk2593UQCAREsYeG9VTtvHRb4G6rOnlhfvPdh8/qfCfh3wer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\nAD1ZA7yD/KMoRFFnHdctDvuddVxZLOaRe/t9dnok5zzGMdJUB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IOguz/vjJMdpjtZDC4sKxz/13Ax3oDuAy62kylkysdH9Ud8OhcAoKy+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\nXD/xt01Do4UforZZSssZZ1ybZP/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tiL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eY0EqAs5erHoruMjn/M0K0nDkSFmvaqFrZKRM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\nAMDj0AAA8Dg0AAA8AQ6bTLMQu3YLAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420.6,
       "width": 480.6
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "idx_epi <- grep(pattern_epi, names(nv_color))\n",
    "names(nv_color)[idx_epi]\n",
    "# http://applied-r.com/rcolorbrewer-palettes/\n",
    "colors_epi <- RColorBrewer::brewer.pal(9, \"Set1\")\n",
    "colors_epi <- colorspace::lighten(colors_epi, amount=0.4)\n",
    "\n",
    "nv_color[\"Epithelial cells\"] <- \"#d9ffcf\"\n",
    "nv_color[\"LEp_prog\"] <- \"#b4fd9e\"\n",
    "nv_color[\"LEp_secretory\"] <- colors_epi[3]\n",
    "color_lep_mature <- colorspace::darken(nv_color[\"LEp_prog\"], amount=0.3)\n",
    "nv_color[\"LEp\"] <- color_lep_mature\n",
    "nv_color[\"LEp_hormone\"] <- color_lep_mature\n",
    "\n",
    "nv_color[\"BEp\"] <- colors_epi[4]\n",
    "color_bep_mascs <- colorspace::darken(nv_color[\"BEp\"], amount=0.15)\n",
    "color_bep_myo <- colorspace::darken(nv_color[\"BEp\"], amount=0.3)\n",
    "nv_color[\"BEp_MaSCs\"] <- color_bep_mascs\n",
    "nv_color[\"BEp_myo\"] <- color_bep_myo\n",
    "\n",
    "nv_color[\"Basal\"] <- colors_epi[1]\n",
    "nv_color[\"Her2E\"] <- colors_epi[6]\n",
    "nv_color[\"Her2\"] <- colors_epi[6]\n",
    "nv_color[\"LumA\"] <- colors_epi[7]\n",
    "nv_color[\"LumB\"] <- colors_epi[5]\n",
    "nv_color[\"Normal-like\"] <- colorspace::darken(colors_epi[3], amount=0.4)\n",
    "\n",
    "pie(rep(1, length(idx_epi)), col=nv_color[idx_epi],\n",
    "       labels=names(nv_color)[idx_epi]) \n",
    "\n",
    "                                       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7a6a8fc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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D8cx0VGRnbp0kVEmMOL100IHsgw5d6fTAyMFgwLVbCKSdtHl/dnAS8JaXGEEFtv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5/2XYoSmsmzO66DM1rD0X3lOecPj5i/39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\nTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420.6,
       "width": 480.6
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "list_sort <- update_nv_color_cell_type(list_sort)\n",
    "colors_epi <- list_sort$nv_color_cell_type\n",
    "\n",
    "pie(rep(1, length(colors_epi)), col=colors_epi,\n",
    "       labels=names(colors_epi)) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e245872c",
   "metadata": {},
   "source": [
    "### cell.type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "57d6d598",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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19SUFFDB5trJ8OJEyf8/f3XrFnDN+P1ejGk1/xgiiJXdiZqZ3V1UXVonLTydPKT\nSwghgUN92Q7CzLmtV5VKeuTyAXO/HGfhKFqzZo2Xt9eePXu0sHTQ2nT6QdKdsYSQ2L1SmqbP\nPq+lH1+Azg4dGqCTSt882Dei5/+O1//9UMmezd9XWIx5ZZqTxlcvLCycOHHiyJEjC0sK/Ya4\nD3w90sbb0tzR1DncvrWpLfGYTgzXayeRnYmxlWFtSSPbQfRSfmIJh8txC3NkOwgDmVdyc24W\nWjmZh8T6uwQ5LNg1OWZJdFVN5cyZM0eMGJGTk8N2QADQBnRogE4q4KX3pzlLD7429dPLeQ0t\njYXXd80buuic1ZSvP5+i0VFZcrl8/fr1Xl5ehw4ddAqxG/JWd/+h7hzun7+LAmI9eAJu6m/Z\nbS36NHFZ4itWtCnKs3DYCjONVc01RfXmEp04MaedFHLl+e3XKQ41aW2M6hEOl9N9UtArB6Z3\nG+zzyy+/dAnosn79ejandgCAVqBDA3RW1iO/vfTL+wMbtk0JtjWz6Tbxs9I+G3+/uW+svQbX\nTEpKioiMeOutt/jmvN4LQyOmBwhFgn8+QSgS+A5yU8qVl3fc0mAOdVNt50i/cJ/tIHpGNdXO\nPVyfLkLfOJxSXVTnGeH8wEBrU7HxhNVDZ38xVmRn/NZbb0VERiQlJbEVEgC0QA/ugwYADTFw\nGfrWrqFvaWWttra2jz76aOU7KxUKhc8AV/+h7hzew9/De/V1zr1WXHynoqag3sJJP65QSvyt\nKYoUpZazHUTPFCSVEEKCh+vEEd/t0Vwr/eO7W1wD7qT3Yx76BLcQx4V7nrvy/a3zO66FhYX9\n73//W716tUAgeOiT1Uc462d6lobXAIAH4Do0ALSLTCZbsGBBfHz8U3xvYmJiRGTE8uXLjcXC\nvovDAoZ7PqpAE0I4XE7XkV40TV/6Sm8uRQtM+BaOosaqZvKwcx/h4WiSn1xiIOCJXSzYjtJe\ncV/Hy5rbej4XIjDiP+o5XB6n9/SwF3dOtvWy2rBhQ0hoyNP91MTHxy9YsEAmkz1DXgDQIHRo\nAGiXxsbGffv2jRkzpqysrP3f1dLSsnz58rCwsOTkZJ8Brv1eC2/PpWX7rta2Plb1ZY05Vwuf\nIbJW2flZ00r6/k29Ccy6irya5toWa1dLtoO0V1lWZfLpe4Yi4aAXezzxybYe4hd2TBy8sOe9\nzHvdu3efP39+U1MTg7XKysaMGbNv377GRtyrCqCj0KEBoF0sLS2/+eab4jwEIHUAACAASURB\nVOLiyZMnt/N+qVu3bgUFBW3YsMHcyWTA0siA4Z5/3Tv4RN1GeVEcKv77O/pyZVfiLyaE3Luc\nx3YQvZGfVEII8e7tynaQ9jqz5QpN06PfGtjO53O4nN7TwxbsmuLgb/vVV1+FhoXeutWuj1aU\nSuX06dOLi4u3bt1qaak37zEAOht0aABor4kTJ7788stxcXGrVq16/DOVSuXGjRujukdl5WR1\nHekVvShMZGfMaC2RxMS9u0Nbi/zGj6nPEFl7bL2suDxOWSZGc7RXfmIJRVHBsfqxGfru+ayC\nlFJbDyv/aA9G32jjZvn89glDXu6dnZMd1T1q48aNSuUT3he+/fbbZ86cWbRo0bRp054hMgBo\nFjo0ADDw0Ucf9ezZc/369ceOHXvUc0pLS2NjY9944w1DS0HfxWHe/Vye7tRu/xgPvpHBvYu5\nLQ16sCWUa8Cx9rRsbZTJpBhq9mQKubLobrnAhC801fT9dmogb5Vf+Dqe4lBT1sU+xbdzOFSv\nqSELdk62cjZ/4403Bg4cWFBQ8Kgn//LLLxs2bIiIiNi0adMzRAYAjUOHBgAGDAwMvv/+eysr\nqzlz5jz0LInDhw/7+/ufPv2rW3eHfq+GmzuYPvVafCMD/6HuSgV9aXvCM0TWHomfmKbpjIuY\ncPdkxWnl8la5va8N20Ha5eoPSfXljV36elo5P/3tjzbuVvO/mdR7eljcxbiArgHffffdf5+T\nn58/c+ZMc3PzH374gc9/5G2LAKAL0KEBgBknJ6cDBw7U19ePHTtWKpX+9XhDQ8P8+fPHjx8v\nlTd3nxsYMtGPx+c+41ruPR1FEpPyzKqK7JpnfCktkPhbE0Lux+O2widTTbULGODFdpAna6ho\nuv5DEo/PHbNy8DO+FI/PHbyw58yPRxO+ctq0aRMnTqytrf3rq62trePGjaupqdm3b5+rq+sz\nrgUAmoYODQCMDRgwYMWKFUlJSa+99prqkeTk5JCQkK+++krSRTzw9UhJF+vHv0I7URyq2ygv\nmiZ6ceSKpbNIYMyvyqt98lM7vbzEEopD+fV3ZzvIk53bfq2tVd5vTiRfqJ4TFTwinBfunuLT\n0+3gwYPhEeHJycmqxxcvXnzz5s2VK1cOGzZMLQsBgEbhjBUAeBqrVq26fv36tm3boqKiaJpe\nsGBBm1wWNNbHo5cTeZrNz49k62MlCbAuuVORcSHXp5+rOl9a3SiKsvO1yksoqS9rFNmasB1H\nd7U2yspzqk2tjDgcXb+OU5halnYx28TKuM/McDW+rLGF0dQPR14/lHT688uRUZFbv9wqEAi2\nb9/ev3//lStXqnEhANAcXf/9BQC6icPh7N2718HBYd68ebNnz+YIqd4vhXr0VnOBVgkc5c3h\ncm4dTnviQAPWSfysCSFp57LZDqLT8pNLaCXtHKTJY+XVgabps19eoQgZu3KQ2l+cokjUhMB5\nX000shDMnj17xowZDg4OBw4c4HKfdQcUAGgHOjQAPCWpVCoyE7W1tYlsjfu/Fm7laqahhYzF\nhp7RTnKZ4tqeZA0toS6SLmJCSH5iKdtBdFp+UikhJDDGl+0gT5B8KqMko8LB384r0kVDS9j7\n2sz/drKth1gulxsaGdbX12toIQBQO3RoAHgaJ06cCAwMTEtL8+7nMvCNKIGpZmcI+A12F5ry\nc64VNVe3aHShZ2RiZWQiNqorw9lyj5OfWMzlcZy7StgO8jiy5raLO29yuJzJ78dodCEjM+FL\ne6cOfKF7TnZOcEjwoUOHNLocAKgLOjQAMKNUKlesWDFq1KgWhbT3iyFdR3pRlAY2cPwbT8Dt\nEuNJK+mL229qeq1nZO9vrZQrS9Ir2A6io+rLG+vKGi0cNPWphbr8vi+hqaY5cKivme3Tz2ds\nJ4oi0bMjZnwyiuYqJk6cuGLFCt3ftgQA6NAAwEBjY+O4cePWrVtn6WLW/7UIG2/tHUTsEimx\ncBRV5taW3K3U2qJPwc5PTAhJv4Ap0Q+Xl1hCCPGIdGY7yOPUFNffPHKHLzQYvXyA1hb1CHde\nsGuKYxe7devWjRs3rrERn2YA6DR0aABor8LCwui+0ceOHXMKtu29MMTQXKsnzFEUFTjOh9Dk\nj29va3NdpiR+YoqiitNwHfrh8pNKCCHBI3T6iO9zW68q5MrBL/Xk8LT6V1JkYzLny3HBMX7H\njh3r3qN7bm6uNlcHAEbQoQGgXa5cuRIaGnrr1i2/Ie4R07tyDVj47WHlauYUbCutb005man9\n1duJb2Rg6WLWXCPFx/H/RdN0QXIp39DAQiJiO8sj5d4uyryaZ24nihwfqP3VeQbcsSsHxyyJ\nTk1NDQ0LjYuL034GAGgPdGgAeLL9+/f379+/pq66++xA/6Humhhg105dR3pzDbgpv2TKZbrb\nUCV+YlpJ51wtYDuIzinPrm5paLVx194WIKaUCuXZLVcoipqwZiiLMbpPCpq2aaS0tWnwkMHf\nfvsti0kA4FHQoQHgcZRK5dKlS6dOnWpgwo1eHGbfVT0HED41Q3OBd38XRZtSl3d0qA79zvwj\nn+0gOke1kcM3WnePJ0w4frcit8Y12IH1sSHe3V3nbhtvKjaaO3fu0qVL8bEGgK5BhwaAR2pp\naZk4ceLmzZvF7hZ9l4SZSXTi7D2f/i5G5sKCxNKGsia2szycjYcFj88tz6pmO4jOyU8qoSgq\ncKgP20EeTtrQ+vveBA5P4/Ps2snWQ/zCN5Ncgxw2b948ceLElhadHuwI0NmgQwPAw9XW1g4Z\nMuTw4cMOgTa9FgQLTDQ7Abr9uHxuwEgvWknHbdPROXccHsfGy1LWLGttlLGdRYfIZYritApD\nkYBvpCv/LT3g0s4bLQ2tkWO7GZkbsp3lT8bmhrM+G9NtsM/hw4f79etXWanTQ2kAOhV0aAB4\niOLi4ujo6EuXLnn2cYqc2ZWr3ekET+QUbCv2MK8tashLKGE7y8NJ/MQ0TdIu5LAdRIcU3S1T\ntCns/W3ZDvJwlXk1iT+nCYz4QxdHs53lX7gG3PHvDu03N/LatWt9ovvk52OPEIBO0K2/iwCg\nC1JTU6OiolJSkgOGewaO8dHCESpPIXCMD0WRa/t09PRv1Zbo3BtFbAfRIaojvrsO8mY7yMOd\n/fKqUknH/q8vR/f+MFIU6f98VMyS6PT09MioyMTERLYTAQA6NAD829WrV/v06VNcUhQ+LcBn\ngCvbcR7J3MHUJdJe1tR260ga21kewsJBJBQJqgvr2A6iQ/ITSzhcyreXG9tBHiLj9/v3EwrF\nLhbBMbo7uLr7pKDJ78dUVVf27df34sWLbMcB6OzQoQHgb0ePHu3Xr1+jtKHnC0FOIXZsx3mC\ngBhPnoCbdvZ+m1TOdpb/oIjEVyxvVdQU1bMdRSdI61src2tMrU108M+OQq688NV1ikNNWqsT\ntxI+hn9fz2mbRrbKW4YMHXL06FG24wB0arr3ywwAWLJ///4JEydwhFSfl0OsvXR3gu9fBKZ8\nv8HuSrny0lcJbGd5CImfmBCSdg5bogkhJD+phKZp12AHtoM8RPzB5Jrieu/urnaeYrazPJl7\nmNPcL8cLTAwmTpy4f/9+tuMAdF7o0ABACCH79u2bMWO6UMTv81KImb0p23HayzPaycTaqORu\nZXW+zu2akHSxJoQUJpeyHUQnqCZDB8X6sh3kQU010iv7b3MNuOweqsKInZf4+e0TRDbG06dP\n/+abb9iOA9BJoUMDANm2bdvMmTMNzYW9F4aYWBuxHYcBDpfTbaQXTdOXvrrFdpYHGZkLRbbG\n9eU6OsRaywqSSrgGXHtfG7aDPOjCjusyaVvvaaECXZ2491AW9qI5X46zsDebN2/eJ598wnYc\ngM4IHRqgs9u0adOCBQtMxIZ9Xg41ttKVsbjtJwmwtvW1aihvyv5D587WlvhbKxXKwjtlbAdh\nWU1xfX1Fk5WTOdtBHlR6r/LOmUxDkXDAC93ZzsKYma3p89vG27hZvvrqq2vXrmU7DkCngw4N\n0Klt2LBh2bJlIjuT3gtDDM0FbMd5SoGjvSkOdeOHVKJjxyGrtkRnXLjPdhCW5SeWEEI8o5zZ\nDvJvNDnz5RWa0KNXDGQ7ylMysTKa/cVYO0/rlStXLl++nO04AJ0LOjRA5xUTE7N8+XILJ1H0\ny6FCM30t0IQQU1tj956ObS3y+AN32M7yL3a+Yg6HKsno7GfL5SeVEIoEj9CtsXF3zmUW3im1\n8xT79/FgO8vTM7Ywmv3FWHtf2w0bNsTE6PpcEYCOBB0aoJNas2bNqVOnCCEtDa08AZftOM/K\nf6g738gg83JeS4MOHa9tIORZuZlL61rkMh27Qq5FtJIuvFPGN+SLrE3YzvK3tlb5xW9uUBxq\nyrpYtrM8K6EJ38JeRAg5derUmjVr2I4D0FmgQwN0Rps2bVq1apW5g6ldFytpbeuv7/+haNPv\nksc3MvAf5q5U0Je23WQ7y79I/KxpJZ11JY/tIKwpzaxsbZLZeVmxHeRfru5PrK9oDOjvZemo\nc7u0GVEq6cNrfks9n2lma+roZ7dq1apNmzaxHQqgU0CHBlCvtvvH/hdlyaGooA+yHvb11vu/\nrJs9IMDR3JAvFEn8+05/76esVu1G3LJly7Jly0R2xmEz/IMn+tgHWktrW0+//4e+Xyt17+Fo\nJjEpz6ouz6pmO8vfJP5iQkj2VZ2731FrVFPt/Prq0H6J+orG6weTeHzu2JWD2M7yTJRK+vDq\n08m/ZZjZmr75ywvzv57s4Ge7bNmyzZs3azMGXXvnx9XToru625gIBCbWHuHDF3x0prBNmxEA\nWIAODaA+rdkHF/UInv5LrRH98CfQOTvGRA7fkBq08kRaVUNN5m+rw7M3jYoavSPrEd+gfrt2\n7XrllVdMxEbhM/z5RjyKQwWO9bIPtJbWtf62Tr9rNMWhAsd40zS5vEOH5txZu1sYCHkVOTpU\n67UsP7GEoqhug7zZDvK3c1uvyWWKfnOieHwe21me3gMFmsfnGZoK5m2baOchXrZs2fbt27WU\no/zE7JCQSVsK+qw+mlhSU57+24Z+dT/8b3DImF2d940jdA7o0ADqkrS+R8jsCwFf3Li8NODh\nz6j67rVXT9UN2HB086RgiZHA0LbrhA+PbBjQ9Ourr+6v0kbEQ4cOPf/8XKGIHz7TX2D65zTc\njlSjrb0s7bvaNNe0pJ/TlVEYFIey9baSSdua61rYzsKCthZ5SUalkbmQJ9SVtlqYWpp+OUdk\nbdJnZhjbWZ7efwu06nETC6N52ydaOZovXLjwu+++03wQ2W9vz9t933TKtmPvjQ20NzUycwwe\nv/HHd3pSFb+883m85tcHYA86NIC6lLUFfRwfv3Oa76NGLJf/8O3PTdyBM6f+87hju6kzBnGb\nTn7zQ4mm8x09enTylMkCU37k3IAHxtiparQkQCyta/1tvX7vje42yovD49w+mq6U68o/hcRP\nTOhOeuh34Z0ypULpGGDHdpA/0TR95osrFCFj39bjXRyPKtAqZjamL+yYZGZjMmvWrKNHj2o4\nS05asbWX57gpsRb/eFASGGhNSHFhoa78DAJoAjo0gLoMfuebOf6POeNPeeNqvIJ4Bgf/+yBt\n05AQT6K8fuW6Rv/aXLp0acqUKXwjXvgs/4fOgaY4VNAEb0mAWFrbenqdHtdoYytDr2hnuUxx\ndXcy21n+pNoSnZdQzHYQFqg2QwcO9WE7yJ8Sf0kvzax0DJB4ROjYsOp2e3yBVrG0N5v/9WRj\nC8Mpz025dOmSJuP4Lv455V7mVyP++UuFzr15u4pwg0MD0TGgI8N/3wDaUpaT00SIg4PDA4/b\n29sT0pydrbkL0ampqaNGjVJSytBpfo85iVBVozvALYa+g9yEIsH9G0VNVVK2sxBCiJnE1Mhc\nWFNUz3YQFuQnlnC4HI9InSisrc2yy7tvcricye/r6xzl9hRoFbGzxbztE7gG1PARw5OSkrQU\nT1ZfnHzyo8mDV9x0GPnpjpd16D5SAPVDhwbQloaGBkKIoeGDHdbIyIgQUl+voYZVVFQ0bNiw\nhsb64MneIonx45/cMfZG8wTcgFgPWklf1Jk5d3Z+YkWboiqvlu0gWtVUI60qrDWz1ZWx0L/v\nTmiqkQbH+uvUpOr2a3+BVrHztJ75yRhpi3RYzLC8PE1PV6zdNpDiCswcAmNXJQeu/unijy8F\n6fG5TQDtgA4NoF0URT3wCE3TD31cHerq6oYNG1ZQWBAwykPs0a45uB2jRruE21s6i6ry64rv\nlLOdhRBCJH7WhJC757LZDqJV+YklhCZuYY5sByGEkJqi+oTjqXyhwchl/djO8jSYFmgVj3Dn\nyWtjSktLh8UMq6mp0WRA8xfP0kpZfVl63Bdjm7eOCAibtT9HL395ALQXOjSAtpiZmRFCmpqa\nHnhc9YhIJFL3gjKZbNy4sSkpKX5D3RyCbNr/jR2hRlMkcKwPockfOxPZjkIIIfb+YkJIUUoZ\n20G0SrUZOihWJ474PvPlFYVcOfjlXhye/v3he7oCrRI01G/Mm4PS7qaNHj26pUWzw2EoA1Mb\nn+iZ7//0y9ueqbvnzt9RqNHlANilf79KAPSVjYeHKSFFRUUPPF5QUECIyMdHotbVlErl1KlT\nz50779bTwa2HPdNv7wA12tLFzDnUrqVBlvxLJttZiFAkMLc3baxqJvr3L/Lp5SeX8Pg8Ww/2\nTyi8n1CYfT3fwl4UOa4b21kYe5YCrdJjUnD0jPBLly5NmjRJoVCoOR/d1tT0wDlR3K4jYlxJ\nS9zpSzI1LwagQ9ChAbSFiuzdk0+y4uP//YFqxfXr94lBrz5R6t3L8frrrx86dMi+m7XvENen\ne4UOMPAuYIQX14B755dMXXgPIPG3VirovMTOMp2jKr+2qVoqdrV48lM1TKlQnv3yKkVRE1YP\nZTsLY89eoFWGv9YveJj/Tz/99MYbb6gzX+U3g4UCk7C1qQ88Xl9fT4iSpjWxRQ1AR6BDA2iN\nxYT5EyyUF77d+Y85wXTOzp1xtNX4+ePVea1u586dmzdvtnQ16zbW61n2Wev7wDtDM4HPQFeF\nXPn71+yfXCjxExNC7l3KZTuIlqg2cnj1cGE7CLl5LLUyr8Yt1NEpQL0f9micugo0IYTiUJPX\nxriHOG3evHnnzp1qiyjuPzCQQ9J/2H39n5ei5Qm/nq8i3B59exuobSUAnYMODaA9otEfbpts\nf23luEXf3y5tljWX3N63cOy7CQ7Ttm8eafq4b5TJZO2/H+jKlSsvvviisYVhyGQfDvdZLwPp\n+8A77/4uRhbCwuSyupJGdpPYeltxeJzSe5XsxtCa/KQSQpHgWF92Y0gbWv/Ye4vL40xaq2fz\n7NRYoFW4BtxZn4wRO1nMnz//4sWL7fyumpoamewxOzLcXt6yOsI08+MJYz74ObmwrrmhJO30\nx89N+jjNKOStzS/oxExDAA1BhwZQj8ptA6k/mc47TQhJetPrz//Nm3zo/58lmbjv2tn3IjLW\nj/CxNLHyH7k5r8fGuOu7xz3h8tiSJUucnZ0PHDjwxBh5eXmjR4+mKWXIVF++sXquAen13mgu\nj9N1pBetpC9uT2A3CU/AtXa3aKmXyWVydpNogVKhLEotFxoLjC0ec+yQNlz8Jr6lsTVqQpCR\nmZDdJIyovUCrGJkbzv58HE/IHTtubE7Okw/OPHDggLOz85IlSx73muErLt7+efUgxYGX+vnY\niKw8e83fXdtn5ZHbl9dEPHIYPUBHgA4NoB7iF8/SjyA/MP7v53Ht+722/bfkwroWmbSm4PbJ\nL1/uZffEn8NZs2aJRKIpU6YsWrToMdeEGhsbR4wcUVlZ2W28l6mtOruLXtdoxyBbaw+LuuKG\nvASNH6j+eBI/MU3TGRdz2Y2hBSXpFTJpm8RbzG6MytyapJPpAmP+4Jd7s5uEEQ0VaBVbd6up\nG0bU1taOGDH8MVPpZTLZokWLpkyZIhKJZs2a9fjXFHrEvvXN6cS8qqZWuaypKjfxt2/fHuPN\n8rsnAI1DhwbQAxEREYmJiYMGDfriiy969Ohx//79/z6Hpum5c+emJKd4D3K29bVUewa9rtHd\nxnhTFHV1TxK7YzFUW6Jzrnf8gV/5SaWEEP9+nuzGOP35H0olPWJpP47+/K3TaIFW8e3lPvTl\n3nfvps2cOVOpfMiPRGFhYd++fb/44ovo6OibN29GRESoPQNAB6A/v1cAOjdra+tTp06tWrXq\n9u3b4eHhp06deuAJK1eu/PHHHx2CbDx6a+pIC/2d1GHuYOoaZd8mlSccuctiDCtXc76hQeV9\njR51oRPyE4spDhUwyIvFDOmXcvKTiq1dLQOHsrwnu/20UKBV+s+NCh3R5dixY++8884DXzp/\n/nxYWNi1a9deeeWVM2fOSCR6diMmgNagQwPoDS6X++677/700080TcfGxi5fvvyvUa/Hjx9f\nt26dhZNp11EeGs2gv5M6usR4GAh56edyWxtZG1lLcSg7X6u2FnljVTNbGbRA1txWmlVlYmHE\n4mkmcpni/FfXKQ416b1hbGVgSmsFWmXCO0NdujmsW7fu+PHjqkdomt6wYcOgQYOkUumhQ4c+\n/fRTAwPM1QB4JHRoAD0TGxubmJgYGRm5YcOGgQMHlpaWZmdnz5w5U2BsEDzZVwutRU8ndQhM\n+H5D3JUK5eUdbM65s/MTE0Lunnvy7Vz6qyCllFbSTt3sWMxw/WBSXWmDby93W0+W92S3k5YL\nNCGEJ+DN+mSMqZXxtOnTMjIyKisrhw0btnz58qCgoNu3b48dO1bTAQD0HTo0gP5xcnKKi4t7\n5ZVX4uLiQkNDY2Ji6uvru43zEor42gmgp3ujPXo7mVgblaZXVuSwtpvC3t+aEJJ/uyOftKKa\nDB04jLUjvhsqm65+n8g14I5bNZitDIxov0CrmIqNn/tgRHNz8/ARw8PCwk6fPj19+vTff//d\n3d1dOwEA9Bo6NIBeEggEn3766d69e8vLy+/du+cZ7Sj2NNdmAH2s0RwuFTjam6bJ71/fZiuD\nqY2xsZVhXXEDWwG0IC+xhMPjuIYwPmFeXeK+jm9rkUfPDBcYaeld5bNgq0CreEY493++e1Zm\nVlFR0d69e/fs2WNoiIl0AO2CDg2gxyiKksvlJjZGnv2cWFhdD2u0nb/Yzs+qsbI5Iy6XrQwS\nP2uFXFma0TEPW2moaKotrjeXiNgKUJRWfudcpqGZsN/cSLYytB+7BVplyIKeEi9ruVze1tam\n/dUB9Bc6NIC+SklJmTdvnpG5MGpuAMV51vMIn44+1uhuo70pDnXrcNpDp3ppgWrCXcbFhwwo\n7ABUGzk8Ilh4U0cIITQ5u+UKIWTsWwPZCcCELhRoQgjFoRbufM7KwXzBwgW3b7P2EQ2A3kGH\nBtBLDQ0NY8eOlbW1Bk3y4Ruxee+83g28M7Ux9ujtJG9VxH93h5UAEn8xRZHi1HJWVtc0VYcO\nHs7OZuiUM/eK08vtvW18+2h2QM2z05ECrWIoEk79cKRCIZ84aWJDQ0feaASgRujQAHpp0aJF\nWVlZPkNczR1N2M6ifwPv/Ie4840Nsv4oaK5t0f7qAmO+haNZY7WUrQvhGkST/KRSAyHPykmr\nu/NVZNK2uK/jKQ416f0Y7a/OiE4VaBXnAMnw//XLysxatGgR21kA9AM6NID+OXLkyO7du629\nLFwjdeX4A/0aeGdgyOsS40Er6UvbE1gJIPEX00o690YRK6trTkVutbS+xdpN/cdktseV/bcb\nq5u7DvK2dDBjJUA76WCBVuk5JdQ/2nP37t0HDhxgOwuAHkCHBtAzRUVFzz//vMCE322sJ2Fn\nF/TD6dfeaLfuDhaOooqcmtI0Fu7tU22Jzrycp/2lNSo/sYQQ4tPLTftL15Y2xB9KMRDwxryt\n0/PsdLZAE0IoikxcM0wkNnlxwYv5+flsxwHQdejQAPpEqVTOmDGjpram62gPgYnOze3SoxpN\nUVS3Md6EJn/sTNT+6jZeVlwDTllWtfaX1qj8pFKKooJiWDhb+/y2a4o2xcAFPXjsHY74RLpc\noFVMLIwmrY2pr6ufNm3aX8egAsBD6e7vGgD4rw8//PD8+fOukRIbH3Y+Ln8iParRYndzh0Cb\n5tqW1F+ztLw014Bj42nZ2tjK4sHjaieXKYrulglNBUJTgZaXzksszvj9vsjGpMekYC0v3X66\nX6BVfHq49ZgcfPny5c2bN7OdBUCnoUMD6I1bt26tfGelqY2xz2BXtrM8jh7V6G6jvLkGnKQT\nmUq5tkNK/KxpmmRczNXyuppTkl4hlynsfW20vC6tpM9uuUJR1ITVQ7W8dPvpS4FWGfFaP4mX\nzdtvvx0fH892FgDdhQ4NoB+kUulzU59TKpWBE7y4Brr+k6svA++MLIRefV0UbYo/dml7R4ed\nn5gQcv9GoZbX1RzVVLsuAzy1vO7tn9PK71c7d5O4Bjloeel20q8CTQjhCXhT1sXSFD1j5gyp\nVMp2HAAdpet/iQFA5Z133slIz/Aa4CSyM2Y7S7voy8A734GuhubCvJslDeVN2lzX0lkkMOFX\n59dpc1GNyk8qoTiUXz93bS7a0tB6adcNDpczeV2sNtdtP70r0Cr2PjZDX+6dkZ7xzjvvsJ0F\nQEehQwPogfj4+I8//tjc0dSthz3bWRjQi4F3XD43INaDVtKXvtLqnDuKoux8xW2t8rqSjnCk\nRUtDa3l2tanYmMPR6p+V3/cmSOtbw0Z2MbE00ua67aSnBVoleka4W7DjRx99dOXKFbazAOgi\ndGgAXSeTyebMmUMo0m2MJ1tnej81vdgb7RwqsXIzr86vL7hdqs11VRPu0s7naHNRDSlILqVp\n2iVQq+/xqvJrE47fFRjxY5f21+a67aTXBZoQQnGoiauHcQ04c+bOaWlh4TQiAB2HDg2g6957\n773U1FTPvo4mNrp4pe2J9KBGUyRwjDdFkat7krW5rL2/NSGkIEmrxV1DVJuhu8X4aHPRs1uv\nKhXKmCV9tHvtu130vUCrWLtaDnihR0Z6xrp169jOAqBzdO8XDwD8p01MnwAAIABJREFUQ3Jy\n8gcbPhBJTNx76ej9Uu2h+zXawknkHCZpbZIl/ZShtUWNrQxNrY3rShu1tqLm5CeVcA24zl21\nd3Bm5tW8nBsFlo5mISO6aG3RduoYBVql/5xIR3+79evX37p1i+0sALoFHRpAd8nl8tlzZisV\nyq6jPSiunu3ieIDu1+iuI7x4Au6dX7PbWuRaW1TiL1YqlMVpFVpbURPqShvqyhotHURaW1Eh\nV57fdo3iUJPf17lbCTtSgSaEcLicSWtiaELPmTO7ra2N7TgAOgQdGkB3ffjhh7cSbrn3cTCz\nN2E7ixro+MA7gSnfZ6CrUq78/ZvbWltU4mdNCMm4cF9rK2qCaiOHZ6SL1la8eeROdVGdR7iT\nxNtaa4u2Rwcr0CoSb+t+cyKTkpI3bdrEdhYAHYIODaCjcnJy1qxZY2pj7BntyHYWtdHxgXfe\n/VyMrQyLkstrirQ0K8PO14qiqOK0cu0spyF5iSWEkKDhftpZrrlW+vu+BC6PM2mtbl2E7pAF\nWmXgCz3sPMRr3luTk9MRboEFUAt0aAAdtWTJkpaWFv/hbhxeh/o51eWBdxwup+sIL5qmL2/X\n0pw7vpGBlYtZc22L9g9KVBdaSReklPINDcwlptpZMe7bG7Lmtu6Tg4UmfO2s2B4duEATQnh8\n7riVQ1pbWl966SW2swDoig71txmgw/jpp59OnDhhH2ht5WbGdhb10+W90Q6BNjbelnWljTnX\nirSzosTfmlbSWVcLtLOc2pVnV7c2ymw9rLSzXFlWZfKvGUJTwZCXemlnxfbo2AVaxS3EMWiY\n36+//nrixAm2swDoBHRoAJ0jlUqXLFliIOD5DnFlO4um6HKNDhzjQ3Go+P0pRCuhVFOis67k\na2MxDchLKiGE+EZr6XjCM1uu0kp69JsDtbNce3SGAq0ycml/Q1PhSy+/1NzczHYWAPahQwPo\nnA8++OD+/fue/Z2Epjr0UbXa6WyNFtkZu3V3aGuR3zyUqoXlrD0seHxuRXa1FtbShIKkEoqi\nug3x1sJaaXHZBSklNh5WXfp5amG59ug8BZoQYio2HvRij4L8go0bN7KdBYB96NAAuiU7O3vD\nhg2mtsaukdobtcsWna3RXWI8+EYGGRdyWxtlml6Lw+PYelu1Nsta6ls1vZbayVvlxWnlhmZC\nvpHG3+/JW+UXdlynONRz63TlVsJOVaBVej0Xau9j88EH6+/du8d2FgCWoUMD6JYXXnihVdba\nZYS7vg+EbifdHHjHNzLwG+ymVNCXtHJzoZ2fmNAk7YL+TTwoTC1XyJUO/rZaWOvaD0l1ZY1+\nvT2snC20sNwTdcICTQjhcDlj3hwkk7UtWLCA7SwALEOHBtAhW7ZsOX/+PIdDSatb2M6iPbo5\n8M6jt5PIzqTsXlVFdo2m11Jtic69WazphdSuIKmEENJ1sJemF2qoaLr2QxKPzx337hBNr9Ue\nnbNAq/D4XCNzw/Pnz2/ZsoXtLABsQocG0BVyufzzLz7n8Dg0TZKOZF78OKG+pIntUFqigzWa\n4lCBY7xpmvz+tcaPXLFwEBmKBDWFdZpeSO3yk0o4XMqnh5umFzq/43pbqzx6dgRfyH5b7bQF\nur6i8YeVJz+bure5tpnD5XzxxRdyufYO9QTQNejQALpix44dGekZzlG24c/7WXmYNVW3/L41\n8do3KXItHj3NIh2cG23jbSnpIm6sas64kKvZlShi5yeWyxRV+fpUo5vrWiryakQ2Jpr+S1J0\nt+zuhSwTS6O+syI0u1I7dM4CrZArL393c8OIHTeOpxiKhPO2TBz2Up/09PSvv/6a7WgArEGH\nBtAJjY2Nq1evFpjwnSJsjCyFXSd4BE72MrIUVufWn1kff+d4FtsBtUEHbzEMHO3D4XJuHU5T\nKjUbRrWdI12vtkTnJ5UQmrgGO2h0FZqmz355lSJk7DuDNbpQe3TOAn33YtbGkTuObzinkCsG\nzOm+6dYbQUP8B83rYWZj+s6qd+rr69kOCMAOdGgAnbBhw4aysjLX3nZcPlf1iIWrafhcP8+B\njhweJ/9m2Zn3r5emVrIbUgt0rUYbiw09ejvJZYrre1M0upDE35oQUphcptFV1Eu1GTooVrNH\nfCefvlecXm7va+sV6aLRhZ6oExbo8vtVXy88+O2iw9XFdV6RrhtvvD5uxZ/70flG/OGL+1aU\nV2zatIndkABsQYcGYF9xcfFHH31kLDa06/qvw94oDuUYZhO1oItjmI28VX7rQEbcxwmNFR38\ndANdq9H+Q90Fpvzsq4XNmrzR08hcaGZn0lChTzvg8xJLeHyuxMdac0vImtsufnODw+VMWc/y\nPLvOVqCl9S3HNpzdNPbb9N9zxM4Wb5148dX9s4Qmgn8+p/uEYHtv2w83fVhQoK+nbAI8C3Ro\n+D/27jSwqSrtA/i5N3vaJM3edN/btIW2tFA22UR2FFABF9xFHccZ33HGZZxxZlQEXEZHRxFU\n3EVHVEAQLS2l0H3f96Zp0iZp0y1JkzbrfT8ESoHSJblZWs7vm+Xm3EOl7b83z3keyPP+9re/\nGQyGyFWBCDpOPzsSjRi1Omje/XGsYF9D/8iF9ypLvqj3eLJ0Ka+K0UQKIWF9JGbDcg6VuvRG\noniezWqTV6tcehe89HdqhvoMnGA/l94l7+ty/YAhaW0sS8hw6Y0mdkMFaJvVVni0ct+mQ7lf\nl5EoxHteu/Xl7D8Gxo3TvhAloFueWz0yPPLPf/7T7duEIM+DGRqCPKympuaLLz5nhzE4EcwJ\nLmP401PuiYm/LZzsS1K3DGTuLWo9N5uf/XhVjA5bGMAOZva2DyobXFhOIxLzAQBNOe2uuwWO\n5FUqAEDM4jDX3WJQqS35oYZEJd3q0cneN1SAbi3u+Pf2z46+/NvIkHHZvfPfqnphyY55E1yf\nuCI6dnHE559/XlPj2mInCPJCMENDkIe99NJLVpstcuWUDmYJxOwFu+PDlooAAM1Zssx9xepm\nl3cv9hTvidEIgiRtjQUYyDtc6bq7CGO5KAFRNc6MqveOKgVAQPLGONfdIvNAodViW/O7JUSi\nx35U3TgBulc28OWfj3/4yLfdrb2RqSGv5T+z818b0fHeGbvKthdusdlsL730khs2CUFeBWZo\nCPKkioqK48eP82P9fIX0Kb6EQELDlorSH0sQJnJMenPJl/W5H1SOaFw+ktojvCdGc8NZQcnC\nYc1IzS+u6pFCohJ5YexhjdFi8vZuhjYr1lnTTaGTGTwfF92io0LRki9lCRkL70xy0S0mdYME\naNOwOeNA7htbP6nKaGTwfP707YPP/O8hBneq/2eD40XJa8XHjx8vKSlx6T4hyNvADA1BnvSP\nf/wDA1joYtF0X0hhkMSbwubdH8sM9NEq9dlvlZYfabRZZmGRtPfE6Lm3RRNIaM2pZtftwT+e\nh2FYS67MRevjpbul1zRs9o/iuWh9zIad+SAfQZDt/1rnoltM6kYI0BgGSn+u3bvhYMaBPAIR\n3fHPDfuL/hKZFjLddTY9vQIg4NVXX3XFJiHIa8EMDUEeU15efvLkSUEs21dAc2wFpshn3q7Y\nuE1hJDpRVd935rXijiIlvpv0Bl4So2l+1JhVYVazLf8zV1V02LtEtxV4e6V7R6USACBeGemi\n9ctP1Kvb+0OTA0KSAlx0i4ndCAFaVqv8764vv33xlH7AkLxW/Gb588t3OTjCRhQtSFkXf+LE\nCfgoGrqhwAwN3VDM7ceeWchBESR533XfkJ/KNfiwVxCGLvF3ch3/RE764wlhS0WYzVZ3UpK1\nv3hANtumHnhJjI69OYzOpsrKlboelzSh40ewSVRir9Tba9xlVUoEQeasjnbF4iM644UvSlEi\nunPPBlesP6lZH6A1PbojL558954vZDWKILH/K+ef3v3BDuKlzvSO2fjHFQiKvPzyy3ht8mpG\necYbDy4Xi5hUEsWXH7ng1qc+uNAzC994g2YSmKGhG4ax7funFqfsOjVIx5y6BidlZWW//PIL\nX+znw3fwIfRY9iLp+Y/E8+PYxiFzwcc1+QerTUOzqkjaG2I0gYQmborCbFjOh2WuWB9BEWEs\n12Qw6/uHXbE+LkzDZlVzL51NI1JdEi7Pf146rDXO3zrHhz3VQwI4mt0B2my0ZB8u3L/5o7Kf\n63xYtMcO3fXXk4+zRSznVxZF8VM3JJw8ebKoqMj51a5mqt23Mn7tS4Whf/y2UjHY03j6X2md\nnz65Iv3Rk97+6yY0q8EMDd0gqvYunvdgduJ/Sy78OdGZa3Dzt7/9DSAgbMm0K6EnQGNTEraE\nJ90V7cOjDXbqst4orT3eCmbRoxpviNHBKf68CL+BTq2swiWNnO0d7hrPeu/Q787abpvVFpzo\n7Psn4+rtGKj4uYFCJ294eoUr1p/Y7A7Q9pHdp97JsVmxjX9c+UbZc3NXxeK4/qanV6IE9F//\n+heOa9o1v/3giwWG1L//9NnjyyM4PqygtHvfP/Jskk16+K8HmnG/GwRNFczQ0A2i25z8dnHx\np/fGTfDQdyrX4KOoqOjXX38ViNl0LhX3xdmhjLQH46JvCSaQUVlpd8ZrhZ0VPbjfxVM8H6MR\nkLQ1FkFAwRdVrljeXhItLVe4YnFcyKqUAIC56/CMX6OyDhTYrLYNf1qOuv2n0ywO0F0N3e8/\n8PXhp37QdOvmro59q+K5jX9YjvtdBOHctE2Jp0+fxvtR9GBF01CwcMndO+Iu/6NAYlcsEwFQ\nU1o6q95tg2aW2fM9AoImtOalT3C5Bh+vv/46QEDoYpc8yQMAICgSmMoXxLOlF5SKyt7qH1ta\nczpT74plCF3Vicyd7DEaAKCoUme8lrfmr0uIZLcGLr8gRuj8AGmxovJYU/IWnKMkS+RLZ1MH\nFTp8l8WRrEqJEtDIBcG4r9ySL5WUdnKD2fM2xuO++MRma4A2DA5nHMzLO1KO2TBhBPeJQ3cJ\nwl3VTQUAsO53N5WcqHn99dd/+OEH/Fb123G4Ycc1H0UQBAASlQofBUIeA//xQZC7NTc3Hzt2\njBfFcsVD6LFINGL0muD5D4s5EUxD3/CF9ysLP6mxGL299/BUePxpdOKmKCKVWJfRZh7B//Mp\nEvOtZqta4o2lnvr+4f5ODcsf/8nbVovt7MEiBEV2vLoe98UnNisDtNViu/B16Z71H+Z+XUZj\nUB797/Z/nHnKpQEaAOAfxU9cFXPs2LGGhgaX3ggMZX91TAFYm7eunA3/s6AZCmZoCHK3t956\ny2azBacL3XM7Opc6d3vUnDsiaSxKv1Sbubek4fTMmCY9Mc/GaAqDHLc6zGaxXfioHPfF7eUc\nDdneWBLdUakAGAhPC8J95ZKj1f1dmuj0UFEMH/fFJzArA3RLofStOw4f359lMVqW7kx9s/z5\nlPVuerR/y6OLbTbbf/7zHxfewyb/8r67D8l8l7+y9w62C+8DQRODGRqC3Kqnp+eLL75gBviw\ngnzdeV9uFGvB7vio1UEIAWnPV5x5rUhV3+fODbiCZ2N09IoQXx5dUasekOPcSdCeobtqu/Fd\nFheyKhUAYB7eI771A8N531QQSITt7n0IPfsCtFra/8mTRw/u/k4t7Y9OD9tf8uzdeza7cwNR\n80MjUoI/++xTlcolh26Bvvq/W5c8+NNA/O+P/vhUzOSzyCHIZWCGhiC3evfdd0dGRkIWuukh\n9FgIigSlCdJ3xwck8ywjlvIjjeffrRhSe28PtanwYIxGCeicW6MxDDt/COc+d1QmhR3EHOo1\neF1PFQzIqpQkCpEfwcV34XOfFJsM5iV3z6PQyfiuPIFZFqCHtSOn3sl5c9snDRfa2CLmX44+\n/H/fPEBnurZgbFyrH11sNJref/993Fe2yE88uXTJUye0C/56+vx7azm43wCCpgNmaAhyH71e\nf+DAAR8ulRvt56k9kH1JMetC5t0fxwryHVIbLrxXMdOHhHswRgfM4QvjuNpuvaSgE9+VRWIe\nZsOk5V34LuukXtmgYXCYF4rz2+fdrb01vzXTmNRbHl+M78oTmE0BGrNhpT/X7tv8UfbhQiKZ\nePdrm/fk/iksCf96mylKuiVOFMV//4P3h4aGcFzWUPGf9fO3ftAQcN8Xhdl7VuL8axwETR/M\n0BCEA7PZ/Oyzz3711VdGo3GCyz7++OP+/v7A+QLE029AMvzpKffGzLkjksIgqer7MvYUtWZ7\n+3zpCXgwRs+9LQZBkeIjtfg+MxbF8wEAzRc68FzUafaudjFLw/BcFANn3s/HMGzLCzfjueyE\nZlOAbi2W/fvOT7998dSwdmTpztS3ql5YuiPVs1tCUGTFA+kD/QOHDx+e4DKj0fjVV189++yz\nZrN50jVHav976y1PZ1qWvnq28PNdcRT8dgtBDoMZGoJwoNVqDx06tGvXruDg4BdeeEEqlV57\njc1me+eddyi+ZP9Eb3kHkhvFmv9ofOgSEQCg+awsa39Jn0Tj6U05yFMxmunvE7E4yDxiKfmu\nFsdlBdEclIh2N/fiuKbzZJVKgIDkDWIc16zLbpXXqIRRvPgVUTguO4FZE6AHVdojL5788JEj\nqtbeyHnBe/P+dPeezSjq6V/QAQAALNyWzOT5vv3O2zbbOF+JUqn0hRdeCA4O3rVr16FDh7Ta\nyU4U9J/avf4PWaZFezNOv7gYniKEvAXM0BCEAy6X29HRcfDgQYFAsG/fvsjIyFtuueX777+3\nWq2j15w6dUoqlYqSuSjRi77uCCQ0/CZR+mMJwkSOcchU9Glt7geVI9oZObbAUzE6fn0EmU5q\nPt8xosPt80YkE/iR7BGdyTTsLb0IrRZbV1031YdC98OtxNZitJz7uBhBkbv2bMBrzYnNjgBt\nGjZnHMjdt+lQ2c91DJ7P/33zwDPfP8zgu/WY8sRIFOLSu1Kl7dJffvll9IM2my0zM3P79u3R\n0dH79u1jsVj79u1ra2vjcieuyzBmvfj4l5301W98+/w8D4x/h6Dr8aKf5RDkOr0frkYuYjz6\nGwCg6oXoi/9N3Hl06tdMgMVi7d69u7a29sKFC7fffvu5c+e2b98eExOzf/9+tVoNADhw4ACK\nIqIk1/ZndQyFQRJvCpt3XywzwEer1Ge/VVp5tHkmFkl7JEaT6aT4dRE2K3b+IJ6HC0ViHoZh\nzRe8pRGhskltNlpEsXg2niv4tlLbM5SwIoob4o6Hi7MgQGMYqMpo3H/rRxkH8lACuv2l9fuL\n/hK1INTT+xrHTXelEYiEAwcOAAAGBwcPHTqUmJh4yy23/PDDDytWrDhx4kRzc/Nzzz03WYAG\nAOR9910nAPrMx0ORa/g+cNINfxcIGheCYZin9wBBs5BcLj948ODHH3/c3d1NpVI3bNhw7Ngx\nbjQzYWuEp7c2EQwD3XX9krOdJoOFQCaI14SGpIs8valpw2xY1Y8tiio1jUVxzxRDzIZlvlmk\nUw2tfXYJPxKfONjbPnh6b64ojr/57yucWUdS1Jn5bsG8W8XLHkpzZp38byqL/1ez6dkVc9bE\nOLPOKJ1a/+H93wIAXvjtcTLV5XF2FgRoea3y+P4saVUXSkDmro576J07iGSCpzc1kUO/+64q\no3HLli2nT58eGRkRCoWPPPLIY489FhyM/5BLCHI/+BwaglwiODj41VdflclkR44cmT9//o8/\n/miz2YSJ3n6UHEGAfyIn/fHEsKUizGqrPSk5+2bpgMx7506Py/1PoxEUSd4ag2EAx5Er3FAW\nmU7qlXrLtEJZpRJBkYRVuFUtZx0stJisKx9KhwF6Ulr10NGXf3v3ni87qruCxP6v5Dy9+4Md\nXh6gAQALtyVjGPbTTz/Nnz//yJEjMpns1VdfhQEamjVm2PcRCJpZyGTyzp07t27d6u/vP2zR\n86JZnt7RlBDIaNhSkTCBI8lRqBsHCj6u9gtkpN0TR/Z1X+9eJ9ljNABAUaXOeC3PDU+j+dEc\nUSJfWatuzJbGrQxzfkEERfzjeLJypU6tZ/B9nF/QGUa9qbu1z5dDx6uav7OuuyGnjcH1WXb/\nfFwWnMCMDtBmoyX369Izh/JNBrOPH23X/tvmrsZ5wI3rzLk5xk/IxIxIRkYGleqBTtUQ5FLw\nOTQEudy33347ODgY7Im5Ks6gsSkJW8KTdkb7cGmDnbqsN0prj7d63dSP63P/0+ik22JQAlrx\nQwNepeQXh35neX7ot7xahdmwkCR8CnswDDvzfj4CwNa/34LLghOY0QG6Pqf19ds+PvVOjs1i\n2/DU8jfKnptBARoAgCDI6kcXawY1//vf/zy9FwjCH8zQEORyBw4cIJAI/l5fyDEudhgj7aG4\nmHUhRApBVtqdsadQXu6NM6jH5eYY7cOjRS0PtpishV9W47KgPUN3VCpxWc0Z9s7QSevxCXBV\np5tUzerAeP/odNcehpu5AbqrsfuDB785/NQPGpU2YXnU6yXPbnp6pac35YhFtydT6GT7yUII\nmmVghoYg16quri4qKhLE+xGp3l68eD0IigQk8xbsjg9I5lnN1pqfWnPeKdf1GDy9rylxc4wW\nr4mgMsiSoi5D/4jzqzEEPr5culbp+Xp0WZUSJaKhyQHOL2UymM9/WoIS0J0u7mc3QwO0YXD4\n2P7Md3Z+LimTC8K4f/v1yScP30v1nalDRWhMauqmxMLCwupqfH6xhCDvATM0BLnWZ599BgDw\nzpZ200KiEWPWhcx/JJ4TztT3Def+t6LwkxqL0Vu6F0/AnTGaSCEkbIzCbFjOwVJcFhTF86wW\nm6rJk8NWtGr9oFLHDmDislruV2X6geHk9WKWkIHLguOaiQHaarFd+Lp0z/oPc78uo/lSHnnv\nzn9mPeUfOeO/dSzengIA+Pzzzz29EQjCGczQEORCFovlm2++oXOozAAPnwnDC51Lnbsjas4d\nkRQmpV+qzdxb0nDaWxoYT8CdMTp0gYgdwuyVDirq1M6vZi/naDznyU+yrFIJAIicj0M7hQGF\ntvTHWhKVdNtzq5xf7XpmYoBuKZT++85Pj+/PshgtS3emvl723LwNCZ7eFD4iUoL9I/lffvXl\nVGZ6Q9AMAjM0BLnQr7/+2t3dLZzjLcO98cKNYi3YHR+1OgghIO35ijOvFanq+z29qUm4LUYj\nCJK0NRZgIO/TSudX8xfzEAQo6nucX8ph9mLolE3xzi+V+UG+1WJb++QS103rnHEBWt3Rf/ip\nowd3f9cj6YtOD9tf8qz3jOzGy4Lb5qh71BkZGZ7eCAThCWZoCHKhzz//HEEQYcJsy9AAAJSA\nBKUJ7EXS5hFL+ZGG8+9W6PuGPb2vibgtRnPDWMHz/Ee0xppfWpxciuJDZoew9P3DNptnWqJg\nGCavVpKoRE6ws50ZpeVdrYUyPxEz/Y4kXPZ2rZkVoId1xlPv5Ly57XB9ThtbxHzm+4f/75sH\n6MxZ2ANu4e3JKAGF5RzQLAMzNAS5ysDAwIkTJ/xCfanMGdNWeboovqSYdSGp98exgnyH1Ibz\n/6koP9LozUPC3Raj52yOJpAINadanL+FSMzDbJiksAuXjU2XWjIwrDUKwp3tKmOz2jI/yEcQ\n5M5/rcNlY+PcYuYEaMyGlf5cu2/ToezDhUQiYecrG/fk/ikiJcjT+3IVP39m9ILQ48eP9/X1\neXovEIQbmKEhyFW+/fZbk8k0Q1vaTQvDn55yb0zClnCyL0lV35exp6j1fKenN3Vd7onRND9K\n7M2hVrMt77CzkwtFYj4AoDWvA499TZusWgkAiL0pzMl1yo7Xq6UDYfMCQ+a4ZHr8DArQbSWy\nf2//7NsXT43oRhZsmftW5fPL7nb5oBmPW3h7sslk+v777z29EQjCDczQEOQqn3/+OZFM4MX4\neXojbsKPYy/YHR+2VAQwrPlMR9b+4j6pxtObGp97YnTMqjA6myqv7NZ2651ZRxDFIZDQnlbP\nPMCTVSoRxNnO0MM6Y+6XZSgB3blnI14bG2umBOhBlfbIiycPPHJE1aIOEvu/cv7pB97a5rrS\ncK+SslZM9aHAcg5oNrkhvnQhyP1aWlqKiop4sX4EF4+Y9ioEEhq2VLTg0QR+rJ9xyFx0uDbv\nwyrjkDcexndDjCaQ0MTN0ZgNy/nQqT53BBIqiOaO6E3GIRNee5sii8naVd9DZVCpDKf6E58/\nXDKiM6bfPpfOwr/Yd0YEaPOIOeNA7r5Nh8p+rmPxGP/39f1/Pfm4nxCfdoEzAplOTl4rLiws\nbGlx9pAABHmJG+inOwS5k322rSCe7emNeADVj5ywNSL57mhfPk3TNXT2jZLKo80eOhE3ETfE\n6OAUIS/Sb7BL11Hm1KxBkZgHMNCY4+4Od4qGHqvZGiAWOLNIr3Sg8lQDhU5e98fleG1slPcH\naAwDVRmN+zd/lHEgD0GQW/+0am/hM1HpYZ7elwekbU4EAMByDmjWgBkaglzi6NGjJBrJL8SF\nUyS8nF8II/VBcdymMCKVoKhSn9lTKCtReXpTV3NDjE7aGosgiJPTv+1doqUl7j5WaO9qN+eW\naGcWyTxQYLNhm/68AsX7B473B2h5ner9+7/68s/Hteqh5LXitypfWPfkMk9vymNiF4f7+NGP\nHj3q6Y1AED5ghoYg/EkkksrKSl40EyXMqiav04UgwD+Rk747IWShELPaak+0nX2zdEDu+cnV\nY7k6RvsFMsLSA0wGc/mPDQ4vwglmUXzJfTJ315fLKpUIisQuC3d4habc9vayTn4oO3m9GMeN\nAa8P0Fr10NGXf3v37i+kVV3+kby/Z/x+9wc7iGSCp/flSQQiYe7q2IqKitbWVk/vBYJwADM0\nBOHPXsjBi71RThNOjEglRKwITHs4nhvFGtEYCz6qLvykxjLiRUPCXR2jEzZGEqnEhjPtJoOj\nf2sEiMQ8i9EyqHDfbyAjOqO6fYDB80EdfYBstdiyDxUhKLLj1Q347s2bA7TVbL3wden+zR8V\nHq2ks6iPfbDzpYzfC51uDjg7pKwTAwB++OEHT28EgnAAMzQE4e/o0aMkKpEddgMdGJoUnUOZ\nc0dk0s5oHy61X6o9s7e49rgXPYtyaYym+JLFt4TbrLYLH5VdnZlNAAAgAElEQVQ5vIi9nKMh\nqw2/fU1CVqXEMCwsJdDhFYr+VzWg0MYsChNG8XDcmDcH6Pqc1v23fnR8f5bVYr35oUVvlD2X\ntMapliazjPimSB8WDZZzQLMDzNAQhDOpVFpeXs6NutELOcbFDmOkPSSOWh2EElFZafeZ14qU\ntb2e3tRFLo3RUcuDffl0ZX1vv6P1GKJ4PgBAXu2+mnJ7MXTSuljHXq4fGC44UkkgEe58Gc+h\nKl4boLslfR898f3hp34YUGqj08NeL3n29hfXenpTXodAJCSuiiktLZVIJJ7eCwQ5C2ZoCMLZ\n999/j2EYP+5G7MgxFQiKBKUJFj6REJQmsIxYKr5rOvd22ZDa4Ol9AeDKGI0S0Lm3RWMYdv6g\ng4+ifTg0hsDHyVbT0yKrUhFIhKA5/o69PPtQkWnYvGxXGoWO25xO7wzQBs3Isf2Zb277pClP\nwgthv3jqif/75gGqr1PdAGexlHXxAIAff/zR0xuBIGfBDA1BOPvpp59IFCI77MbtyDEVJBox\nanVQ6gNxrGBfQ//IhfcqS79usLps8vbUuS5GixL4wjiuTm1oy5M7tkJAPN9mtSnqe/Da0gQG\nlTptzxAniOXYy1XNvbWZLTQmddWjC/HakhcGaJvVVni0ct+mQ7lfl1Ho5Pvf3Ppy9h8DYpxq\nBTjriW+KpPlSYYaGZgGYoSEIT729vUVFRexwxg0ye8xJvkJ6yj0x8VvCKQxST2P/mb1FLdky\nT2/KhTE6aUsMgiIl39UBh5b0F/MAAI3Z7ugSbS/kiFoY4siLMXDmg3wMYFteXI3XfrwwQLcU\ndfz7zk+PvvybUW9cfu+CtyqfT9+a5OlNzQAkCjF+eWRRUVFvr7fUcUGQY+CPeQjC06+//mqz\n2TiR8DThNAji2At2x0esCEQQ0HJWfua1op7Gfs9uyUUxmiH0iVwaZB6xFB2pceDl/rFcBEWU\njWpcNjMxe4ZO3uBIQ7razJbOWpUomh+/LBKXzXhbgO6VDXz55+MHH/22u60vPDloT96fdvxr\nA4LA8w9TFb8symaz/fbbb57eCAQ5BWZoCMLT6dOnAQI44TBDTw9KREMWChc8liBM5JiHLaVf\nN+R+UDmicfdo67FcFKPFayPIdFJrrmxEa5zua8l0EjfMzzA4YrO4tugFs2HyGhWZTvITTbs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qs1sGuy8O3CZRSfZSjVseWUrymjepwlOC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FTUihUr3N3d29o6e+h6dnb269ev586dCzehQV8DPTQAGHN2dsbj8dXJndoVXZ3ckP+o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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420.6,
       "width": 480.6
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width=8.01, repr.plot.height=7.01)\n",
    "pie(rep(1, length(list_sort$nv_color_cluster_type_ordered)),\n",
    "    col=list_sort$nv_color_cluster_type_ordered) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e280c46",
   "metadata": {},
   "source": [
    "# DGE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1571077a",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "method_dge <- \"seurat_findmarkers_enricher\"\n",
    "dir_xlsx <- \"xlsx\"\n",
    "\n",
    "#method_dge <- \"presto_wilcoxauc_gsea\"\n",
    "#dir_xlsx <- \"xlsx/gsea\"\n",
    "\n",
    "list_genes_dn <- list()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "145d3cbc",
   "metadata": {},
   "source": [
    "## gmt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2d995b17",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "list_gmt <- list()\n",
    "list_gmt[[\"h\"]] <- read.gmt(\"reference/gmt/h.all.v6.1.symbols.gmt\")\n",
    "list_gmt[[\"unc_lccc\"]] <- read.gmt(\"reference/gmt/pubmed21214954_human_gene_signatures.gmt\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dc75b6f",
   "metadata": {},
   "source": [
    "## all samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "740bde59",
   "metadata": {},
   "outputs": [],
   "source": [
    "# tumor pairs with large differences\n",
    "\n",
    "sample1 <- NULL\n",
    "sample_ref <- NULL\n",
    "\n",
    "# for stronger signal\n",
    "th_log2fc_=0.25; th_padj_=0.01\n",
    "\n",
    "min.pct_=0.25; min.diff.pct_=-Inf; max.cells.per.ident_=Inf\n",
    "\n",
    "f_featureplot=FALSE\n",
    "n_sampling=-1\n",
    "cluster_rows=FALSE\n",
    "\n",
    "pattern_sample1 <- \"Tamoxifen\"\n",
    "pattern_sample_ref <- NULL\n",
    "\n",
    "drug_name <- \"tamoxifen\"\n",
    "group_name1 <- \"tamoxifen\"\n",
    "group_name_ref <- \"control\"\n",
    "\n",
    "col_cluster_types_ <- NULL\n",
    "col_cell_types_ <- \"cell.type\"\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82c286c8",
   "metadata": {},
   "source": [
    "## cell types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "53bcade4",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<hr style=\"height:2px\">"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "BEp"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "&nbsp;&nbsp;&nbsp;&nbsp;assay=integrated, slot=data<br>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "&nbsp;&nbsp;&nbsp;&nbsp;tamoxifen BEp n_idx1: 659, samples: Normal_01_Tamoxifen, Normal_02_Tamoxifen<br>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "&nbsp;&nbsp;&nbsp;&nbsp;control BEp n_idx_ref: 797, samples: Normal_01_Control, Normal_02_Control<br>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "df_up"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>expr_min</th><th scope=col>expr_mean</th><th scope=col>expr_max</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>MT2A</th><td>1.085772e-42</td><td>0.7511993</td><td>0.985</td><td>0.932</td><td>2.571651e-38</td><td> 0.00000000</td><td>4.069704</td><td>6.282148</td></tr>\n",
       "\t<tr><th scope=row>MT1E</th><td>1.438730e-39</td><td>0.9152067</td><td>0.854</td><td>0.507</td><td>3.407631e-35</td><td>-0.45548323</td><td>1.576421</td><td>5.483074</td></tr>\n",
       "\t<tr><th scope=row>MT1X</th><td>7.099808e-37</td><td>0.8024920</td><td>0.889</td><td>0.509</td><td>1.681589e-32</td><td>-0.08134671</td><td>1.759772</td><td>4.786647</td></tr>\n",
       "\t<tr><th scope=row>SOD2</th><td>1.743243e-35</td><td>0.6860339</td><td>0.961</td><td>0.975</td><td>4.128872e-31</td><td>-0.58317636</td><td>2.550869</td><td>4.649310</td></tr>\n",
       "\t<tr><th scope=row>FTL</th><td>2.458278e-32</td><td>0.6670440</td><td>1.000</td><td>0.999</td><td>5.822432e-28</td><td> 1.22202765</td><td>3.913800</td><td>5.858428</td></tr>\n",
       "\t<tr><th scope=row>SQSTM1</th><td>7.569035e-32</td><td>0.4785543</td><td>0.985</td><td>0.981</td><td>1.792726e-27</td><td> 0.00000000</td><td>2.272496</td><td>4.479459</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 8\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & expr\\_min & expr\\_mean & expr\\_max\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tMT2A & 1.085772e-42 & 0.7511993 & 0.985 & 0.932 & 2.571651e-38 &  0.00000000 & 4.069704 & 6.282148\\\\\n",
       "\tMT1E & 1.438730e-39 & 0.9152067 & 0.854 & 0.507 & 3.407631e-35 & -0.45548323 & 1.576421 & 5.483074\\\\\n",
       "\tMT1X & 7.099808e-37 & 0.8024920 & 0.889 & 0.509 & 1.681589e-32 & -0.08134671 & 1.759772 & 4.786647\\\\\n",
       "\tSOD2 & 1.743243e-35 & 0.6860339 & 0.961 & 0.975 & 4.128872e-31 & -0.58317636 & 2.550869 & 4.649310\\\\\n",
       "\tFTL & 2.458278e-32 & 0.6670440 & 1.000 & 0.999 & 5.822432e-28 &  1.22202765 & 3.913800 & 5.858428\\\\\n",
       "\tSQSTM1 & 7.569035e-32 & 0.4785543 & 0.985 & 0.981 & 1.792726e-27 &  0.00000000 & 2.272496 & 4.479459\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 8\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | expr_min &lt;dbl&gt; | expr_mean &lt;dbl&gt; | expr_max &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| MT2A | 1.085772e-42 | 0.7511993 | 0.985 | 0.932 | 2.571651e-38 |  0.00000000 | 4.069704 | 6.282148 |\n",
       "| MT1E | 1.438730e-39 | 0.9152067 | 0.854 | 0.507 | 3.407631e-35 | -0.45548323 | 1.576421 | 5.483074 |\n",
       "| MT1X | 7.099808e-37 | 0.8024920 | 0.889 | 0.509 | 1.681589e-32 | -0.08134671 | 1.759772 | 4.786647 |\n",
       "| SOD2 | 1.743243e-35 | 0.6860339 | 0.961 | 0.975 | 4.128872e-31 | -0.58317636 | 2.550869 | 4.649310 |\n",
       "| FTL | 2.458278e-32 | 0.6670440 | 1.000 | 0.999 | 5.822432e-28 |  1.22202765 | 3.913800 | 5.858428 |\n",
       "| SQSTM1 | 7.569035e-32 | 0.4785543 | 0.985 | 0.981 | 1.792726e-27 |  0.00000000 | 2.272496 | 4.479459 |\n",
       "\n"
      ],
      "text/plain": [
       "       p_val        avg_log2FC pct.1 pct.2 p_val_adj    expr_min    expr_mean\n",
       "MT2A   1.085772e-42 0.7511993  0.985 0.932 2.571651e-38  0.00000000 4.069704 \n",
       "MT1E   1.438730e-39 0.9152067  0.854 0.507 3.407631e-35 -0.45548323 1.576421 \n",
       "MT1X   7.099808e-37 0.8024920  0.889 0.509 1.681589e-32 -0.08134671 1.759772 \n",
       "SOD2   1.743243e-35 0.6860339  0.961 0.975 4.128872e-31 -0.58317636 2.550869 \n",
       "FTL    2.458278e-32 0.6670440  1.000 0.999 5.822432e-28  1.22202765 3.913800 \n",
       "SQSTM1 7.569035e-32 0.4785543  0.985 0.981 1.792726e-27  0.00000000 2.272496 \n",
       "       expr_max\n",
       "MT2A   6.282148\n",
       "MT1E   5.483074\n",
       "MT1X   4.786647\n",
       "SOD2   4.649310\n",
       "FTL    5.858428\n",
       "SQSTM1 4.479459"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>114</li><li>8</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 114\n",
       "\\item 8\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 114\n",
       "2. 8\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 114   8"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "df_dn"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>expr_min</th><th scope=col>expr_mean</th><th scope=col>expr_max</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>MT-CO3</th><td>5.314010e-53</td><td>-0.7946342</td><td>0.954</td><td>0.989</td><td>1.258623e-48</td><td> 0.0000000</td><td>1.9216519</td><td>5.079960</td></tr>\n",
       "\t<tr><th scope=row>MT-CO1</th><td>4.844225e-51</td><td>-0.5765198</td><td>0.977</td><td>0.994</td><td>1.147355e-46</td><td> 0.0000000</td><td>2.4336504</td><td>5.307871</td></tr>\n",
       "\t<tr><th scope=row>MT-ATP6</th><td>4.702082e-49</td><td>-0.7478216</td><td>0.951</td><td>0.990</td><td>1.113688e-44</td><td> 0.0000000</td><td>2.1544117</td><td>5.792396</td></tr>\n",
       "\t<tr><th scope=row>MT-ND4</th><td>2.672247e-43</td><td>-0.5980571</td><td>0.942</td><td>0.984</td><td>6.329216e-39</td><td> 0.0000000</td><td>1.8818140</td><td>5.033736</td></tr>\n",
       "\t<tr><th scope=row>KRT19</th><td>4.359095e-41</td><td>-0.9500336</td><td>0.385</td><td>0.678</td><td>1.032452e-36</td><td>-0.8913593</td><td>0.5676338</td><td>5.128677</td></tr>\n",
       "\t<tr><th scope=row>MT-ND1</th><td>2.939077e-39</td><td>-0.6359537</td><td>0.920</td><td>0.965</td><td>6.961203e-35</td><td> 0.0000000</td><td>1.6657561</td><td>4.898882</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 8\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & expr\\_min & expr\\_mean & expr\\_max\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tMT-CO3 & 5.314010e-53 & -0.7946342 & 0.954 & 0.989 & 1.258623e-48 &  0.0000000 & 1.9216519 & 5.079960\\\\\n",
       "\tMT-CO1 & 4.844225e-51 & -0.5765198 & 0.977 & 0.994 & 1.147355e-46 &  0.0000000 & 2.4336504 & 5.307871\\\\\n",
       "\tMT-ATP6 & 4.702082e-49 & -0.7478216 & 0.951 & 0.990 & 1.113688e-44 &  0.0000000 & 2.1544117 & 5.792396\\\\\n",
       "\tMT-ND4 & 2.672247e-43 & -0.5980571 & 0.942 & 0.984 & 6.329216e-39 &  0.0000000 & 1.8818140 & 5.033736\\\\\n",
       "\tKRT19 & 4.359095e-41 & -0.9500336 & 0.385 & 0.678 & 1.032452e-36 & -0.8913593 & 0.5676338 & 5.128677\\\\\n",
       "\tMT-ND1 & 2.939077e-39 & -0.6359537 & 0.920 & 0.965 & 6.961203e-35 &  0.0000000 & 1.6657561 & 4.898882\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 8\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | expr_min &lt;dbl&gt; | expr_mean &lt;dbl&gt; | expr_max &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| MT-CO3 | 5.314010e-53 | -0.7946342 | 0.954 | 0.989 | 1.258623e-48 |  0.0000000 | 1.9216519 | 5.079960 |\n",
       "| MT-CO1 | 4.844225e-51 | -0.5765198 | 0.977 | 0.994 | 1.147355e-46 |  0.0000000 | 2.4336504 | 5.307871 |\n",
       "| MT-ATP6 | 4.702082e-49 | -0.7478216 | 0.951 | 0.990 | 1.113688e-44 |  0.0000000 | 2.1544117 | 5.792396 |\n",
       "| MT-ND4 | 2.672247e-43 | -0.5980571 | 0.942 | 0.984 | 6.329216e-39 |  0.0000000 | 1.8818140 | 5.033736 |\n",
       "| KRT19 | 4.359095e-41 | -0.9500336 | 0.385 | 0.678 | 1.032452e-36 | -0.8913593 | 0.5676338 | 5.128677 |\n",
       "| MT-ND1 | 2.939077e-39 | -0.6359537 | 0.920 | 0.965 | 6.961203e-35 |  0.0000000 | 1.6657561 | 4.898882 |\n",
       "\n"
      ],
      "text/plain": [
       "        p_val        avg_log2FC pct.1 pct.2 p_val_adj    expr_min   expr_mean\n",
       "MT-CO3  5.314010e-53 -0.7946342 0.954 0.989 1.258623e-48  0.0000000 1.9216519\n",
       "MT-CO1  4.844225e-51 -0.5765198 0.977 0.994 1.147355e-46  0.0000000 2.4336504\n",
       "MT-ATP6 4.702082e-49 -0.7478216 0.951 0.990 1.113688e-44  0.0000000 2.1544117\n",
       "MT-ND4  2.672247e-43 -0.5980571 0.942 0.984 6.329216e-39  0.0000000 1.8818140\n",
       "KRT19   4.359095e-41 -0.9500336 0.385 0.678 1.032452e-36 -0.8913593 0.5676338\n",
       "MT-ND1  2.939077e-39 -0.6359537 0.920 0.965 6.961203e-35  0.0000000 1.6657561\n",
       "        expr_max\n",
       "MT-CO3  5.079960\n",
       "MT-CO1  5.307871\n",
       "MT-ATP6 5.792396\n",
       "MT-ND4  5.033736\n",
       "KRT19   5.128677\n",
       "MT-ND1  4.898882"
      ]
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       "</style>\n",
       "<ol class=list-inline><li>76</li><li>8</li></ol>\n"
      ],
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       "\\begin{enumerate*}\n",
       "\\item 76\n",
       "\\item 8\n",
       "\\end{enumerate*}\n"
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       "1. 76\n",
       "2. 8\n",
       "\n",
       "\n"
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       "[1] 76  8"
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     "data": {
      "text/html": [
       "up h"
      ]
     },
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    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>HALLMARK_TNFA_SIGNALING_VIA_NFKB</th><td>HALLMARK_TNFA_SIGNALING_VIA_NFKB          </td><td>HALLMARK_TNFA_SIGNALING_VIA_NFKB          </td><td>24/77</td><td>200/4386</td><td>1.105290e-14</td><td>4.531689e-13</td><td>3.025004e-13</td><td>SOD2/SQSTM1/GEM/TNFAIP3/HBEGF/ICAM1/TNC/IL6/NFIL3/CDKN1A/KDM6B/NFKB1/LIF/PLAU/ZFP36/MAP2K3/VEGFA/TNFAIP6/EGR1/CXCL1/GADD45A/FOS/SOCS3/CCNL1</td><td>24</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION</th><td>HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION</td><td>HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION</td><td>16/77</td><td>200/4386</td><td>2.240736e-07</td><td>4.593509e-06</td><td>3.066270e-06</td><td>TPM2/FGF2/GEM/TAGLN/TNFAIP3/GPC1/TNC/MMP14/IL6/IL32/LGALS1/VEGFA/SPP1/ACTA2/CXCL1/GADD45A                                                  </td><td>16</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_HYPOXIA</th><td>HALLMARK_HYPOXIA                          </td><td>HALLMARK_HYPOXIA                          </td><td>15/77</td><td>200/4386</td><td>1.309958e-06</td><td>1.790275e-05</td><td>1.195049e-05</td><td>MT2A/MT1E/SLC2A1/CSRP2/TNFAIP3/HMOX1/GPC1/DDIT3/IL6/CAV1/NFIL3/CDKN1A/ZFP36/VEGFA/FOS                                                      </td><td>15</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_P53_PATHWAY</th><td>HALLMARK_P53_PATHWAY                      </td><td>HALLMARK_P53_PATHWAY                      </td><td>13/77</td><td>200/4386</td><td>3.469014e-05</td><td>3.555740e-04</td><td>2.373536e-04</td><td>HBEGF/HMOX1/DDIT3/CCND2/SERPINB5/CDKN1A/LIF/KRT17/SFN/GADD45A/FOS/RGS16/HINT1                                                              </td><td>13</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MTORC1_SIGNALING</th><td>HALLMARK_MTORC1_SIGNALING                 </td><td>HALLMARK_MTORC1_SIGNALING                 </td><td>12/77</td><td>200/4386</td><td>1.559284e-04</td><td>1.278613e-03</td><td>8.535030e-04</td><td>SQSTM1/SLC2A1/FAM129A/DDIT3/SLC1A5/IFRD1/NFIL3/CDKN1A/HSPD1/INSIG1/MAP2K3/HSP90B1                                                          </td><td>12</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY</th><td>HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY  </td><td>HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY  </td><td>5/77 </td><td>49/4386 </td><td>1.526317e-03</td><td>8.750451e-03</td><td>5.841123e-03</td><td>SOD2/FTL/PRNP/TXN/GCLM                                                                                                                     </td><td> 5</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tHALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB & HALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB           & HALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB           & 24/77 & 200/4386 & 1.105290e-14 & 4.531689e-13 & 3.025004e-13 & SOD2/SQSTM1/GEM/TNFAIP3/HBEGF/ICAM1/TNC/IL6/NFIL3/CDKN1A/KDM6B/NFKB1/LIF/PLAU/ZFP36/MAP2K3/VEGFA/TNFAIP6/EGR1/CXCL1/GADD45A/FOS/SOCS3/CCNL1 & 24\\\\\n",
       "\tHALLMARK\\_EPITHELIAL\\_MESENCHYMAL\\_TRANSITION & HALLMARK\\_EPITHELIAL\\_MESENCHYMAL\\_TRANSITION & HALLMARK\\_EPITHELIAL\\_MESENCHYMAL\\_TRANSITION & 16/77 & 200/4386 & 2.240736e-07 & 4.593509e-06 & 3.066270e-06 & TPM2/FGF2/GEM/TAGLN/TNFAIP3/GPC1/TNC/MMP14/IL6/IL32/LGALS1/VEGFA/SPP1/ACTA2/CXCL1/GADD45A                                                   & 16\\\\\n",
       "\tHALLMARK\\_HYPOXIA & HALLMARK\\_HYPOXIA                           & HALLMARK\\_HYPOXIA                           & 15/77 & 200/4386 & 1.309958e-06 & 1.790275e-05 & 1.195049e-05 & MT2A/MT1E/SLC2A1/CSRP2/TNFAIP3/HMOX1/GPC1/DDIT3/IL6/CAV1/NFIL3/CDKN1A/ZFP36/VEGFA/FOS                                                       & 15\\\\\n",
       "\tHALLMARK\\_P53\\_PATHWAY & HALLMARK\\_P53\\_PATHWAY                       & HALLMARK\\_P53\\_PATHWAY                       & 13/77 & 200/4386 & 3.469014e-05 & 3.555740e-04 & 2.373536e-04 & HBEGF/HMOX1/DDIT3/CCND2/SERPINB5/CDKN1A/LIF/KRT17/SFN/GADD45A/FOS/RGS16/HINT1                                                               & 13\\\\\n",
       "\tHALLMARK\\_MTORC1\\_SIGNALING & HALLMARK\\_MTORC1\\_SIGNALING                  & HALLMARK\\_MTORC1\\_SIGNALING                  & 12/77 & 200/4386 & 1.559284e-04 & 1.278613e-03 & 8.535030e-04 & SQSTM1/SLC2A1/FAM129A/DDIT3/SLC1A5/IFRD1/NFIL3/CDKN1A/HSPD1/INSIG1/MAP2K3/HSP90B1                                                           & 12\\\\\n",
       "\tHALLMARK\\_REACTIVE\\_OXIGEN\\_SPECIES\\_PATHWAY & HALLMARK\\_REACTIVE\\_OXIGEN\\_SPECIES\\_PATHWAY   & HALLMARK\\_REACTIVE\\_OXIGEN\\_SPECIES\\_PATHWAY   & 5/77  & 49/4386  & 1.526317e-03 & 8.750451e-03 & 5.841123e-03 & SOD2/FTL/PRNP/TXN/GCLM                                                                                                                      &  5\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| HALLMARK_TNFA_SIGNALING_VIA_NFKB | HALLMARK_TNFA_SIGNALING_VIA_NFKB           | HALLMARK_TNFA_SIGNALING_VIA_NFKB           | 24/77 | 200/4386 | 1.105290e-14 | 4.531689e-13 | 3.025004e-13 | SOD2/SQSTM1/GEM/TNFAIP3/HBEGF/ICAM1/TNC/IL6/NFIL3/CDKN1A/KDM6B/NFKB1/LIF/PLAU/ZFP36/MAP2K3/VEGFA/TNFAIP6/EGR1/CXCL1/GADD45A/FOS/SOCS3/CCNL1 | 24 |\n",
       "| HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION | HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION | HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION | 16/77 | 200/4386 | 2.240736e-07 | 4.593509e-06 | 3.066270e-06 | TPM2/FGF2/GEM/TAGLN/TNFAIP3/GPC1/TNC/MMP14/IL6/IL32/LGALS1/VEGFA/SPP1/ACTA2/CXCL1/GADD45A                                                   | 16 |\n",
       "| HALLMARK_HYPOXIA | HALLMARK_HYPOXIA                           | HALLMARK_HYPOXIA                           | 15/77 | 200/4386 | 1.309958e-06 | 1.790275e-05 | 1.195049e-05 | MT2A/MT1E/SLC2A1/CSRP2/TNFAIP3/HMOX1/GPC1/DDIT3/IL6/CAV1/NFIL3/CDKN1A/ZFP36/VEGFA/FOS                                                       | 15 |\n",
       "| HALLMARK_P53_PATHWAY | HALLMARK_P53_PATHWAY                       | HALLMARK_P53_PATHWAY                       | 13/77 | 200/4386 | 3.469014e-05 | 3.555740e-04 | 2.373536e-04 | HBEGF/HMOX1/DDIT3/CCND2/SERPINB5/CDKN1A/LIF/KRT17/SFN/GADD45A/FOS/RGS16/HINT1                                                               | 13 |\n",
       "| HALLMARK_MTORC1_SIGNALING | HALLMARK_MTORC1_SIGNALING                  | HALLMARK_MTORC1_SIGNALING                  | 12/77 | 200/4386 | 1.559284e-04 | 1.278613e-03 | 8.535030e-04 | SQSTM1/SLC2A1/FAM129A/DDIT3/SLC1A5/IFRD1/NFIL3/CDKN1A/HSPD1/INSIG1/MAP2K3/HSP90B1                                                           | 12 |\n",
       "| HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY | HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY   | HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY   | 5/77  | 49/4386  | 1.526317e-03 | 8.750451e-03 | 5.841123e-03 | SOD2/FTL/PRNP/TXN/GCLM                                                                                                                      |  5 |\n",
       "\n"
      ],
      "text/plain": [
       "                                           ID                                        \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB           HALLMARK_TNFA_SIGNALING_VIA_NFKB          \n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION\n",
       "HALLMARK_HYPOXIA                           HALLMARK_HYPOXIA                          \n",
       "HALLMARK_P53_PATHWAY                       HALLMARK_P53_PATHWAY                      \n",
       "HALLMARK_MTORC1_SIGNALING                  HALLMARK_MTORC1_SIGNALING                 \n",
       "HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY   HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY  \n",
       "                                           Description                               \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB           HALLMARK_TNFA_SIGNALING_VIA_NFKB          \n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION\n",
       "HALLMARK_HYPOXIA                           HALLMARK_HYPOXIA                          \n",
       "HALLMARK_P53_PATHWAY                       HALLMARK_P53_PATHWAY                      \n",
       "HALLMARK_MTORC1_SIGNALING                  HALLMARK_MTORC1_SIGNALING                 \n",
       "HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY   HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY  \n",
       "                                           GeneRatio BgRatio  pvalue      \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB           24/77     200/4386 1.105290e-14\n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION 16/77     200/4386 2.240736e-07\n",
       "HALLMARK_HYPOXIA                           15/77     200/4386 1.309958e-06\n",
       "HALLMARK_P53_PATHWAY                       13/77     200/4386 3.469014e-05\n",
       "HALLMARK_MTORC1_SIGNALING                  12/77     200/4386 1.559284e-04\n",
       "HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY   5/77      49/4386  1.526317e-03\n",
       "                                           p.adjust     qvalue      \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB           4.531689e-13 3.025004e-13\n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION 4.593509e-06 3.066270e-06\n",
       "HALLMARK_HYPOXIA                           1.790275e-05 1.195049e-05\n",
       "HALLMARK_P53_PATHWAY                       3.555740e-04 2.373536e-04\n",
       "HALLMARK_MTORC1_SIGNALING                  1.278613e-03 8.535030e-04\n",
       "HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY   8.750451e-03 5.841123e-03\n",
       "                                           geneID                                                                                                                                     \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB           SOD2/SQSTM1/GEM/TNFAIP3/HBEGF/ICAM1/TNC/IL6/NFIL3/CDKN1A/KDM6B/NFKB1/LIF/PLAU/ZFP36/MAP2K3/VEGFA/TNFAIP6/EGR1/CXCL1/GADD45A/FOS/SOCS3/CCNL1\n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION TPM2/FGF2/GEM/TAGLN/TNFAIP3/GPC1/TNC/MMP14/IL6/IL32/LGALS1/VEGFA/SPP1/ACTA2/CXCL1/GADD45A                                                  \n",
       "HALLMARK_HYPOXIA                           MT2A/MT1E/SLC2A1/CSRP2/TNFAIP3/HMOX1/GPC1/DDIT3/IL6/CAV1/NFIL3/CDKN1A/ZFP36/VEGFA/FOS                                                      \n",
       "HALLMARK_P53_PATHWAY                       HBEGF/HMOX1/DDIT3/CCND2/SERPINB5/CDKN1A/LIF/KRT17/SFN/GADD45A/FOS/RGS16/HINT1                                                              \n",
       "HALLMARK_MTORC1_SIGNALING                  SQSTM1/SLC2A1/FAM129A/DDIT3/SLC1A5/IFRD1/NFIL3/CDKN1A/HSPD1/INSIG1/MAP2K3/HSP90B1                                                          \n",
       "HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY   SOD2/FTL/PRNP/TXN/GCLM                                                                                                                     \n",
       "                                           Count\n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB           24   \n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION 16   \n",
       "HALLMARK_HYPOXIA                           15   \n",
       "HALLMARK_P53_PATHWAY                       13   \n",
       "HALLMARK_MTORC1_SIGNALING                  12   \n",
       "HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY    5   "
      ]
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       "</style>\n",
       "<ol class=list-inline><li>12</li><li>9</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 12\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 12\n",
       "2. 9\n",
       "\n",
       "\n"
      ],
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       "[1] 12  9"
      ]
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       "up unc_lccc"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151</th><td>Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                  </td><td>Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                  </td><td>31/113</td><td>488/19982</td><td>3.673670e-24</td><td>9.478068e-22</td><td>5.955212e-22</td><td>GYPC/TPM2/GEM/TAGLN/CSRP2/CLMP/PRNP/DKK3/NRP2/ICAM1/COL17A1/BAG3/CCND2/SLC1A5/NXN/IL6/KRT14/CAV1/APOE/CDKN1A/CTNNAL1/ACTG2/LGALS1/TINAGL1/CRYAB/FAT1/VSNL1/CPNE8/ACTA2/EPAS1/KRT5</td><td>31</td></tr>\n",
       "\t<tr><th scope=row>Pfefferle2012_MaSC_Adam_PMID.25575446</th><td>Pfefferle2012_MaSC_Adam_PMID.25575446                                                  </td><td>Pfefferle2012_MaSC_Adam_PMID.25575446                                                  </td><td>17/113</td><td>180/19982</td><td>2.350207e-16</td><td>3.031767e-14</td><td>1.904904e-14</td><td>FAM129A/PRNP/HBEGF/GPC1/DKK3/NRP2/COL17A1/KRT14/SERPINB5/CTNNAL1/ACTG2/TUBB2B/TINAGL1/ANO1/AGPAT5/GCLM/KRT5                                                                      </td><td>17</td></tr>\n",
       "\t<tr><th scope=row>Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795</th><td>Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795</td><td>Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795</td><td>13/113</td><td>141/19982</td><td>1.289282e-12</td><td>1.108783e-10</td><td>6.966648e-11</td><td>SOD2/SQSTM1/GEM/SPRY2/TNFAIP3/HMOX1/ICAM1/IFRD1/NFIL3/CDKN1A/KDM6B/MAP2K3/GADD45A                                                                                                </td><td>13</td></tr>\n",
       "\t<tr><th scope=row>MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284</th><td>MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                  </td><td>MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                  </td><td>8/113 </td><td>29/19982 </td><td>3.162374e-12</td><td>2.039731e-10</td><td>1.281594e-10</td><td>MT2A/SOD2/ICAM1/CCND2/MMP14/IL6/SPP1/CXCL1                                                                                                                                       </td><td> 8</td></tr>\n",
       "\t<tr><th scope=row>MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559</th><td>MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                   </td><td>MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                   </td><td>12/113</td><td>129/19982</td><td>8.863123e-12</td><td>4.573372e-10</td><td>2.873518e-10</td><td>SLC2A1/HMOX1/DDIT3/MMP14/CDKN1A/ZFP36/VEGFA/EGR1/SPP1/CXCL1/GADD45A/RGS16                                                                                                        </td><td>12</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                        </td><td>UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                        </td><td>17/113</td><td>358/19982</td><td>1.835723e-11</td><td>7.893608e-10</td><td>4.959672e-10</td><td>MT1E/MT1X/TPM2/CSRP2/SPRY2/COL17A1/SLC43A3/KRT14/IFRD1/SERPINB5/ACTG2/KRT17/CRYAB/FAT1/CXCL1/KRT5/CCNL1                                                                          </td><td>17</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tLim.et.al.2010.Conserved.aMaSC\\_BCR.2010\\_PMID.20346151 & Lim.et.al.2010.Conserved.aMaSC\\_BCR.2010\\_PMID.20346151                                   & Lim.et.al.2010.Conserved.aMaSC\\_BCR.2010\\_PMID.20346151                                   & 31/113 & 488/19982 & 3.673670e-24 & 9.478068e-22 & 5.955212e-22 & GYPC/TPM2/GEM/TAGLN/CSRP2/CLMP/PRNP/DKK3/NRP2/ICAM1/COL17A1/BAG3/CCND2/SLC1A5/NXN/IL6/KRT14/CAV1/APOE/CDKN1A/CTNNAL1/ACTG2/LGALS1/TINAGL1/CRYAB/FAT1/VSNL1/CPNE8/ACTA2/EPAS1/KRT5 & 31\\\\\n",
       "\tPfefferle2012\\_MaSC\\_Adam\\_PMID.25575446 & Pfefferle2012\\_MaSC\\_Adam\\_PMID.25575446                                                   & Pfefferle2012\\_MaSC\\_Adam\\_PMID.25575446                                                   & 17/113 & 180/19982 & 2.350207e-16 & 3.031767e-14 & 1.904904e-14 & FAM129A/PRNP/HBEGF/GPC1/DKK3/NRP2/COL17A1/KRT14/SERPINB5/CTNNAL1/ACTG2/TUBB2B/TINAGL1/ANO1/AGPAT5/GCLM/KRT5                                                                       & 17\\\\\n",
       "\tTcell\\_EXH\\_Memory\\_CD8\\_T\\_cell\\_a\\_vs\\_Naive\\_CD8\\_T\\_cell\\_Metagene\\_3\\_Science.2016\\_PMID.27789795 & Tcell\\_EXH\\_Memory\\_CD8\\_T\\_cell\\_a\\_vs\\_Naive\\_CD8\\_T\\_cell\\_Metagene\\_3\\_Science.2016\\_PMID.27789795 & Tcell\\_EXH\\_Memory\\_CD8\\_T\\_cell\\_a\\_vs\\_Naive\\_CD8\\_T\\_cell\\_Metagene\\_3\\_Science.2016\\_PMID.27789795 & 13/113 & 141/19982 & 1.289282e-12 & 1.108783e-10 & 6.966648e-11 & SOD2/SQSTM1/GEM/SPRY2/TNFAIP3/HMOX1/ICAM1/IFRD1/NFIL3/CDKN1A/KDM6B/MAP2K3/GADD45A                                                                                                 & 13\\\\\n",
       "\tMDSC\\_Neutrophil\\_Youn\\_J\\_Leukoc\\_Biol.2012\\_PMID.21954284 & MDSC\\_Neutrophil\\_Youn\\_J\\_Leukoc\\_Biol.2012\\_PMID.21954284                                   & MDSC\\_Neutrophil\\_Youn\\_J\\_Leukoc\\_Biol.2012\\_PMID.21954284                                   & 8/113  & 29/19982  & 3.162374e-12 & 2.039731e-10 & 1.281594e-10 & MT2A/SOD2/ICAM1/CCND2/MMP14/IL6/SPP1/CXCL1                                                                                                                                        &  8\\\\\n",
       "\tMDSC\\_tumor\\_MO\\_Schlecker\\_J.Immunol.2012\\_PMID.23152559 & MDSC\\_tumor\\_MO\\_Schlecker\\_J.Immunol.2012\\_PMID.23152559                                    & MDSC\\_tumor\\_MO\\_Schlecker\\_J.Immunol.2012\\_PMID.23152559                                    & 12/113 & 129/19982 & 8.863123e-12 & 4.573372e-10 & 2.873518e-10 & SLC2A1/HMOX1/DDIT3/MMP14/CDKN1A/ZFP36/VEGFA/EGR1/SPP1/CXCL1/GADD45A/RGS16                                                                                                         & 12\\\\\n",
       "\tUNC\\_HS\\_Red8\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Red8\\_BMC.Med.Genomics.2011\\_PMID.21214954                                         & UNC\\_HS\\_Red8\\_BMC.Med.Genomics.2011\\_PMID.21214954                                         & 17/113 & 358/19982 & 1.835723e-11 & 7.893608e-10 & 4.959672e-10 & MT1E/MT1X/TPM2/CSRP2/SPRY2/COL17A1/SLC43A3/KRT14/IFRD1/SERPINB5/ACTG2/KRT17/CRYAB/FAT1/CXCL1/KRT5/CCNL1                                                                           & 17\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151 | Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                   | Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                   | 31/113 | 488/19982 | 3.673670e-24 | 9.478068e-22 | 5.955212e-22 | GYPC/TPM2/GEM/TAGLN/CSRP2/CLMP/PRNP/DKK3/NRP2/ICAM1/COL17A1/BAG3/CCND2/SLC1A5/NXN/IL6/KRT14/CAV1/APOE/CDKN1A/CTNNAL1/ACTG2/LGALS1/TINAGL1/CRYAB/FAT1/VSNL1/CPNE8/ACTA2/EPAS1/KRT5 | 31 |\n",
       "| Pfefferle2012_MaSC_Adam_PMID.25575446 | Pfefferle2012_MaSC_Adam_PMID.25575446                                                   | Pfefferle2012_MaSC_Adam_PMID.25575446                                                   | 17/113 | 180/19982 | 2.350207e-16 | 3.031767e-14 | 1.904904e-14 | FAM129A/PRNP/HBEGF/GPC1/DKK3/NRP2/COL17A1/KRT14/SERPINB5/CTNNAL1/ACTG2/TUBB2B/TINAGL1/ANO1/AGPAT5/GCLM/KRT5                                                                       | 17 |\n",
       "| Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 | Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 | Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 | 13/113 | 141/19982 | 1.289282e-12 | 1.108783e-10 | 6.966648e-11 | SOD2/SQSTM1/GEM/SPRY2/TNFAIP3/HMOX1/ICAM1/IFRD1/NFIL3/CDKN1A/KDM6B/MAP2K3/GADD45A                                                                                                 | 13 |\n",
       "| MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284 | MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                   | MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                   | 8/113  | 29/19982  | 3.162374e-12 | 2.039731e-10 | 1.281594e-10 | MT2A/SOD2/ICAM1/CCND2/MMP14/IL6/SPP1/CXCL1                                                                                                                                        |  8 |\n",
       "| MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559 | MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    | MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    | 12/113 | 129/19982 | 8.863123e-12 | 4.573372e-10 | 2.873518e-10 | SLC2A1/HMOX1/DDIT3/MMP14/CDKN1A/ZFP36/VEGFA/EGR1/SPP1/CXCL1/GADD45A/RGS16                                                                                                         | 12 |\n",
       "| UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                         | UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                         | 17/113 | 358/19982 | 1.835723e-11 | 7.893608e-10 | 4.959672e-10 | MT1E/MT1X/TPM2/CSRP2/SPRY2/COL17A1/SLC43A3/KRT14/IFRD1/SERPINB5/ACTG2/KRT17/CRYAB/FAT1/CXCL1/KRT5/CCNL1                                                                           | 17 |\n",
       "\n"
      ],
      "text/plain": [
       "                                                                                        ID                                                                                     \n",
       "Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                   Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                  \n",
       "Pfefferle2012_MaSC_Adam_PMID.25575446                                                   Pfefferle2012_MaSC_Adam_PMID.25575446                                                  \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795\n",
       "MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                   MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                  \n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                   \n",
       "UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                         UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                        \n",
       "                                                                                        Description                                                                            \n",
       "Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                   Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                  \n",
       "Pfefferle2012_MaSC_Adam_PMID.25575446                                                   Pfefferle2012_MaSC_Adam_PMID.25575446                                                  \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795\n",
       "MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                   MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                  \n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                   \n",
       "UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                         UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                        \n",
       "                                                                                        GeneRatio\n",
       "Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                   31/113   \n",
       "Pfefferle2012_MaSC_Adam_PMID.25575446                                                   17/113   \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 13/113   \n",
       "MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                   8/113    \n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    12/113   \n",
       "UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                         17/113   \n",
       "                                                                                        BgRatio  \n",
       "Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                   488/19982\n",
       "Pfefferle2012_MaSC_Adam_PMID.25575446                                                   180/19982\n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 141/19982\n",
       "MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                   29/19982 \n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    129/19982\n",
       "UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                         358/19982\n",
       "                                                                                        pvalue      \n",
       "Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                   3.673670e-24\n",
       "Pfefferle2012_MaSC_Adam_PMID.25575446                                                   2.350207e-16\n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 1.289282e-12\n",
       "MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                   3.162374e-12\n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    8.863123e-12\n",
       "UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                         1.835723e-11\n",
       "                                                                                        p.adjust    \n",
       "Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                   9.478068e-22\n",
       "Pfefferle2012_MaSC_Adam_PMID.25575446                                                   3.031767e-14\n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 1.108783e-10\n",
       "MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                   2.039731e-10\n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    4.573372e-10\n",
       "UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                         7.893608e-10\n",
       "                                                                                        qvalue      \n",
       "Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                   5.955212e-22\n",
       "Pfefferle2012_MaSC_Adam_PMID.25575446                                                   1.904904e-14\n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 6.966648e-11\n",
       "MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                   1.281594e-10\n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    2.873518e-10\n",
       "UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                         4.959672e-10\n",
       "                                                                                        geneID                                                                                                                                                                           \n",
       "Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                   GYPC/TPM2/GEM/TAGLN/CSRP2/CLMP/PRNP/DKK3/NRP2/ICAM1/COL17A1/BAG3/CCND2/SLC1A5/NXN/IL6/KRT14/CAV1/APOE/CDKN1A/CTNNAL1/ACTG2/LGALS1/TINAGL1/CRYAB/FAT1/VSNL1/CPNE8/ACTA2/EPAS1/KRT5\n",
       "Pfefferle2012_MaSC_Adam_PMID.25575446                                                   FAM129A/PRNP/HBEGF/GPC1/DKK3/NRP2/COL17A1/KRT14/SERPINB5/CTNNAL1/ACTG2/TUBB2B/TINAGL1/ANO1/AGPAT5/GCLM/KRT5                                                                      \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 SOD2/SQSTM1/GEM/SPRY2/TNFAIP3/HMOX1/ICAM1/IFRD1/NFIL3/CDKN1A/KDM6B/MAP2K3/GADD45A                                                                                                \n",
       "MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                   MT2A/SOD2/ICAM1/CCND2/MMP14/IL6/SPP1/CXCL1                                                                                                                                       \n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    SLC2A1/HMOX1/DDIT3/MMP14/CDKN1A/ZFP36/VEGFA/EGR1/SPP1/CXCL1/GADD45A/RGS16                                                                                                        \n",
       "UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                         MT1E/MT1X/TPM2/CSRP2/SPRY2/COL17A1/SLC43A3/KRT14/IFRD1/SERPINB5/ACTG2/KRT17/CRYAB/FAT1/CXCL1/KRT5/CCNL1                                                                          \n",
       "                                                                                        Count\n",
       "Lim.et.al.2010.Conserved.aMaSC_BCR.2010_PMID.20346151                                   31   \n",
       "Pfefferle2012_MaSC_Adam_PMID.25575446                                                   17   \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 13   \n",
       "MDSC_Neutrophil_Youn_J_Leukoc_Biol.2012_PMID.21954284                                    8   \n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    12   \n",
       "UNC_HS_Red8_BMC.Med.Genomics.2011_PMID.21214954                                         17   "
      ]
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       "<ol class=list-inline><li>93</li><li>9</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item 93\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 93\n",
       "2. 9\n",
       "\n",
       "\n"
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       "[1] 93  9"
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       "down h"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 3 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>HALLMARK_ESTROGEN_RESPONSE_EARLY</th><td>HALLMARK_ESTROGEN_RESPONSE_EARLY</td><td>HALLMARK_ESTROGEN_RESPONSE_EARLY</td><td>9/42</td><td>200/4386</td><td>8.553934e-05</td><td>0.002993877</td><td>0.002791284</td><td>KRT19/KRT18/KRT8/TGM2/CCND1/MUC1/PRSS23/KRT15/ELF3</td><td>9</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_ANDROGEN_RESPONSE</th><td>HALLMARK_ANDROGEN_RESPONSE      </td><td>HALLMARK_ANDROGEN_RESPONSE      </td><td>6/42</td><td>101/4386</td><td>3.442149e-04</td><td>0.006023761</td><td>0.005616138</td><td>KRT19/AZGP1/KRT8/SAT1/CCND1/ALDH1A3               </td><td>6</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_APOPTOSIS</th><td>HALLMARK_APOPTOSIS              </td><td>HALLMARK_APOPTOSIS              </td><td>7/42</td><td>161/4386</td><td>7.188907e-04</td><td>0.008387058</td><td>0.007819513</td><td>KRT18/SAT1/CCND1/TNFSF10/LMNA/GPX4/TSPO           </td><td>7</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 3 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tHALLMARK\\_ESTROGEN\\_RESPONSE\\_EARLY & HALLMARK\\_ESTROGEN\\_RESPONSE\\_EARLY & HALLMARK\\_ESTROGEN\\_RESPONSE\\_EARLY & 9/42 & 200/4386 & 8.553934e-05 & 0.002993877 & 0.002791284 & KRT19/KRT18/KRT8/TGM2/CCND1/MUC1/PRSS23/KRT15/ELF3 & 9\\\\\n",
       "\tHALLMARK\\_ANDROGEN\\_RESPONSE & HALLMARK\\_ANDROGEN\\_RESPONSE       & HALLMARK\\_ANDROGEN\\_RESPONSE       & 6/42 & 101/4386 & 3.442149e-04 & 0.006023761 & 0.005616138 & KRT19/AZGP1/KRT8/SAT1/CCND1/ALDH1A3                & 6\\\\\n",
       "\tHALLMARK\\_APOPTOSIS & HALLMARK\\_APOPTOSIS               & HALLMARK\\_APOPTOSIS               & 7/42 & 161/4386 & 7.188907e-04 & 0.008387058 & 0.007819513 & KRT18/SAT1/CCND1/TNFSF10/LMNA/GPX4/TSPO            & 7\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 3 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| HALLMARK_ESTROGEN_RESPONSE_EARLY | HALLMARK_ESTROGEN_RESPONSE_EARLY | HALLMARK_ESTROGEN_RESPONSE_EARLY | 9/42 | 200/4386 | 8.553934e-05 | 0.002993877 | 0.002791284 | KRT19/KRT18/KRT8/TGM2/CCND1/MUC1/PRSS23/KRT15/ELF3 | 9 |\n",
       "| HALLMARK_ANDROGEN_RESPONSE | HALLMARK_ANDROGEN_RESPONSE       | HALLMARK_ANDROGEN_RESPONSE       | 6/42 | 101/4386 | 3.442149e-04 | 0.006023761 | 0.005616138 | KRT19/AZGP1/KRT8/SAT1/CCND1/ALDH1A3                | 6 |\n",
       "| HALLMARK_APOPTOSIS | HALLMARK_APOPTOSIS               | HALLMARK_APOPTOSIS               | 7/42 | 161/4386 | 7.188907e-04 | 0.008387058 | 0.007819513 | KRT18/SAT1/CCND1/TNFSF10/LMNA/GPX4/TSPO            | 7 |\n",
       "\n"
      ],
      "text/plain": [
       "                                 ID                              \n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY HALLMARK_ESTROGEN_RESPONSE_EARLY\n",
       "HALLMARK_ANDROGEN_RESPONSE       HALLMARK_ANDROGEN_RESPONSE      \n",
       "HALLMARK_APOPTOSIS               HALLMARK_APOPTOSIS              \n",
       "                                 Description                      GeneRatio\n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY HALLMARK_ESTROGEN_RESPONSE_EARLY 9/42     \n",
       "HALLMARK_ANDROGEN_RESPONSE       HALLMARK_ANDROGEN_RESPONSE       6/42     \n",
       "HALLMARK_APOPTOSIS               HALLMARK_APOPTOSIS               7/42     \n",
       "                                 BgRatio  pvalue       p.adjust    qvalue     \n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY 200/4386 8.553934e-05 0.002993877 0.002791284\n",
       "HALLMARK_ANDROGEN_RESPONSE       101/4386 3.442149e-04 0.006023761 0.005616138\n",
       "HALLMARK_APOPTOSIS               161/4386 7.188907e-04 0.008387058 0.007819513\n",
       "                                 geneID                                            \n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY KRT19/KRT18/KRT8/TGM2/CCND1/MUC1/PRSS23/KRT15/ELF3\n",
       "HALLMARK_ANDROGEN_RESPONSE       KRT19/AZGP1/KRT8/SAT1/CCND1/ALDH1A3               \n",
       "HALLMARK_APOPTOSIS               KRT18/SAT1/CCND1/TNFSF10/LMNA/GPX4/TSPO           \n",
       "                                 Count\n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY 9    \n",
       "HALLMARK_ANDROGEN_RESPONSE       6    \n",
       "HALLMARK_APOPTOSIS               7    "
      ]
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       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
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       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>3</li><li>9</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 3\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
      ],
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       "1. 3\n",
       "2. 9\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 3 9"
      ]
     },
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       "down unc_lccc"
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       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>GATA3.induced.genes_JCO.2006_PMID.16505416</th><td>GATA3.induced.genes_JCO.2006_PMID.16505416       </td><td>GATA3.induced.genes_JCO.2006_PMID.16505416       </td><td>21/64</td><td>277/19982</td><td>1.069869e-23</td><td>1.840175e-21</td><td>1.103655e-21</td><td>KRT19/CD24/KRT18/KRT8/S100A6/FXYD3/ALDH1A3/ATP1B1/KRT15/S100A9/VAMP8/S100A14/RBM47/CLDN4/TC2N/SPINT2/ELF3/KYNU/LMNA/LYPD3/MAL2</td><td>21</td></tr>\n",
       "\t<tr><th scope=row>UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954</td><td>UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954</td><td>13/64</td><td>356/19982</td><td>8.485502e-11</td><td>7.297532e-09</td><td>4.376733e-09</td><td>KRT19/KRT18/WFDC2/ATP1B1/PERP/EZR/RBM47/CLDN4/CRYBG1/SPINT2/ELF3/LYPD3/MAL2                                                   </td><td>13</td></tr>\n",
       "\t<tr><th scope=row>Claudin_Low_Genome.Biol.2007_PMID.17493263</th><td>Claudin_Low_Genome.Biol.2007_PMID.17493263       </td><td>Claudin_Low_Genome.Biol.2007_PMID.17493263       </td><td>11/64</td><td>244/19982</td><td>3.021169e-10</td><td>1.732137e-08</td><td>1.038858e-08</td><td>KRT19/AZGP1/KRT18/FXYD3/MUC1/PERP/S100A14/CLDN4/SPINT2/ELF3/MAL2                                                              </td><td>11</td></tr>\n",
       "\t<tr><th scope=row>EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713</th><td>EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713       </td><td>EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713       </td><td>9/64 </td><td>158/19982</td><td>1.825297e-09</td><td>7.848778e-08</td><td>4.707345e-08</td><td>KRT18/ALDH1A3/KRT15/KRT16/DSC2/PERP/S100A14/SLPI/SPINT2                                                                       </td><td> 9</td></tr>\n",
       "\t<tr><th scope=row>Stromal_Down_Nat.Med.2009_PMID.19648928</th><td>Stromal_Down_Nat.Med.2009_PMID.19648928          </td><td>Stromal_Down_Nat.Med.2009_PMID.19648928          </td><td>11/64</td><td>347/19982</td><td>1.209122e-08</td><td>4.159379e-07</td><td>2.494609e-07</td><td>KRT8/ACTG1/VAMP8/KRT16/DSC2/PERP/EZR/S100A14/SPINT2/TSPO/MAL2                                                                 </td><td>11</td></tr>\n",
       "\t<tr><th scope=row>Claudin_Low_29_Cancer.Res.2009_PMID.19435916</th><td>Claudin_Low_29_Cancer.Res.2009_PMID.19435916     </td><td>Claudin_Low_29_Cancer.Res.2009_PMID.19435916     </td><td>5/64 </td><td>26/19982 </td><td>1.794908e-08</td><td>5.145402e-07</td><td>3.085982e-07</td><td>FXYD3/CLDN4/SPINT2/ELF3/MAL2                                                                                                  </td><td> 5</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tGATA3.induced.genes\\_JCO.2006\\_PMID.16505416 & GATA3.induced.genes\\_JCO.2006\\_PMID.16505416        & GATA3.induced.genes\\_JCO.2006\\_PMID.16505416        & 21/64 & 277/19982 & 1.069869e-23 & 1.840175e-21 & 1.103655e-21 & KRT19/CD24/KRT18/KRT8/S100A6/FXYD3/ALDH1A3/ATP1B1/KRT15/S100A9/VAMP8/S100A14/RBM47/CLDN4/TC2N/SPINT2/ELF3/KYNU/LMNA/LYPD3/MAL2 & 21\\\\\n",
       "\tUNC\\_MM\\_Green9\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_MM\\_Green9\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_MM\\_Green9\\_BMC.Med.Genomics.2011\\_PMID.21214954 & 13/64 & 356/19982 & 8.485502e-11 & 7.297532e-09 & 4.376733e-09 & KRT19/KRT18/WFDC2/ATP1B1/PERP/EZR/RBM47/CLDN4/CRYBG1/SPINT2/ELF3/LYPD3/MAL2                                                    & 13\\\\\n",
       "\tClaudin\\_Low\\_Genome.Biol.2007\\_PMID.17493263 & Claudin\\_Low\\_Genome.Biol.2007\\_PMID.17493263        & Claudin\\_Low\\_Genome.Biol.2007\\_PMID.17493263        & 11/64 & 244/19982 & 3.021169e-10 & 1.732137e-08 & 1.038858e-08 & KRT19/AZGP1/KRT18/FXYD3/MUC1/PERP/S100A14/CLDN4/SPINT2/ELF3/MAL2                                                               & 11\\\\\n",
       "\tEMT\\_DOWN\\_Weingberg\\_PNAS.2010\\_PMID.20713713 & EMT\\_DOWN\\_Weingberg\\_PNAS.2010\\_PMID.20713713        & EMT\\_DOWN\\_Weingberg\\_PNAS.2010\\_PMID.20713713        & 9/64  & 158/19982 & 1.825297e-09 & 7.848778e-08 & 4.707345e-08 & KRT18/ALDH1A3/KRT15/KRT16/DSC2/PERP/S100A14/SLPI/SPINT2                                                                        &  9\\\\\n",
       "\tStromal\\_Down\\_Nat.Med.2009\\_PMID.19648928 & Stromal\\_Down\\_Nat.Med.2009\\_PMID.19648928           & Stromal\\_Down\\_Nat.Med.2009\\_PMID.19648928           & 11/64 & 347/19982 & 1.209122e-08 & 4.159379e-07 & 2.494609e-07 & KRT8/ACTG1/VAMP8/KRT16/DSC2/PERP/EZR/S100A14/SPINT2/TSPO/MAL2                                                                  & 11\\\\\n",
       "\tClaudin\\_Low\\_29\\_Cancer.Res.2009\\_PMID.19435916 & Claudin\\_Low\\_29\\_Cancer.Res.2009\\_PMID.19435916      & Claudin\\_Low\\_29\\_Cancer.Res.2009\\_PMID.19435916      & 5/64  & 26/19982  & 1.794908e-08 & 5.145402e-07 & 3.085982e-07 & FXYD3/CLDN4/SPINT2/ELF3/MAL2                                                                                                   &  5\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| GATA3.induced.genes_JCO.2006_PMID.16505416 | GATA3.induced.genes_JCO.2006_PMID.16505416        | GATA3.induced.genes_JCO.2006_PMID.16505416        | 21/64 | 277/19982 | 1.069869e-23 | 1.840175e-21 | 1.103655e-21 | KRT19/CD24/KRT18/KRT8/S100A6/FXYD3/ALDH1A3/ATP1B1/KRT15/S100A9/VAMP8/S100A14/RBM47/CLDN4/TC2N/SPINT2/ELF3/KYNU/LMNA/LYPD3/MAL2 | 21 |\n",
       "| UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 | UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 | UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 | 13/64 | 356/19982 | 8.485502e-11 | 7.297532e-09 | 4.376733e-09 | KRT19/KRT18/WFDC2/ATP1B1/PERP/EZR/RBM47/CLDN4/CRYBG1/SPINT2/ELF3/LYPD3/MAL2                                                    | 13 |\n",
       "| Claudin_Low_Genome.Biol.2007_PMID.17493263 | Claudin_Low_Genome.Biol.2007_PMID.17493263        | Claudin_Low_Genome.Biol.2007_PMID.17493263        | 11/64 | 244/19982 | 3.021169e-10 | 1.732137e-08 | 1.038858e-08 | KRT19/AZGP1/KRT18/FXYD3/MUC1/PERP/S100A14/CLDN4/SPINT2/ELF3/MAL2                                                               | 11 |\n",
       "| EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713 | EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713        | EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713        | 9/64  | 158/19982 | 1.825297e-09 | 7.848778e-08 | 4.707345e-08 | KRT18/ALDH1A3/KRT15/KRT16/DSC2/PERP/S100A14/SLPI/SPINT2                                                                        |  9 |\n",
       "| Stromal_Down_Nat.Med.2009_PMID.19648928 | Stromal_Down_Nat.Med.2009_PMID.19648928           | Stromal_Down_Nat.Med.2009_PMID.19648928           | 11/64 | 347/19982 | 1.209122e-08 | 4.159379e-07 | 2.494609e-07 | KRT8/ACTG1/VAMP8/KRT16/DSC2/PERP/EZR/S100A14/SPINT2/TSPO/MAL2                                                                  | 11 |\n",
       "| Claudin_Low_29_Cancer.Res.2009_PMID.19435916 | Claudin_Low_29_Cancer.Res.2009_PMID.19435916      | Claudin_Low_29_Cancer.Res.2009_PMID.19435916      | 5/64  | 26/19982  | 1.794908e-08 | 5.145402e-07 | 3.085982e-07 | FXYD3/CLDN4/SPINT2/ELF3/MAL2                                                                                                   |  5 |\n",
       "\n"
      ],
      "text/plain": [
       "                                                  ID                                               \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        GATA3.induced.genes_JCO.2006_PMID.16505416       \n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        Claudin_Low_Genome.Biol.2007_PMID.17493263       \n",
       "EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713        EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713       \n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           Stromal_Down_Nat.Med.2009_PMID.19648928          \n",
       "Claudin_Low_29_Cancer.Res.2009_PMID.19435916      Claudin_Low_29_Cancer.Res.2009_PMID.19435916     \n",
       "                                                  Description                                      \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        GATA3.induced.genes_JCO.2006_PMID.16505416       \n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        Claudin_Low_Genome.Biol.2007_PMID.17493263       \n",
       "EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713        EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713       \n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           Stromal_Down_Nat.Med.2009_PMID.19648928          \n",
       "Claudin_Low_29_Cancer.Res.2009_PMID.19435916      Claudin_Low_29_Cancer.Res.2009_PMID.19435916     \n",
       "                                                  GeneRatio BgRatio  \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        21/64     277/19982\n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 13/64     356/19982\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        11/64     244/19982\n",
       "EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713        9/64      158/19982\n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           11/64     347/19982\n",
       "Claudin_Low_29_Cancer.Res.2009_PMID.19435916      5/64      26/19982 \n",
       "                                                  pvalue       p.adjust    \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        1.069869e-23 1.840175e-21\n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 8.485502e-11 7.297532e-09\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        3.021169e-10 1.732137e-08\n",
       "EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713        1.825297e-09 7.848778e-08\n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           1.209122e-08 4.159379e-07\n",
       "Claudin_Low_29_Cancer.Res.2009_PMID.19435916      1.794908e-08 5.145402e-07\n",
       "                                                  qvalue      \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        1.103655e-21\n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 4.376733e-09\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        1.038858e-08\n",
       "EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713        4.707345e-08\n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           2.494609e-07\n",
       "Claudin_Low_29_Cancer.Res.2009_PMID.19435916      3.085982e-07\n",
       "                                                  geneID                                                                                                                        \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        KRT19/CD24/KRT18/KRT8/S100A6/FXYD3/ALDH1A3/ATP1B1/KRT15/S100A9/VAMP8/S100A14/RBM47/CLDN4/TC2N/SPINT2/ELF3/KYNU/LMNA/LYPD3/MAL2\n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 KRT19/KRT18/WFDC2/ATP1B1/PERP/EZR/RBM47/CLDN4/CRYBG1/SPINT2/ELF3/LYPD3/MAL2                                                   \n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        KRT19/AZGP1/KRT18/FXYD3/MUC1/PERP/S100A14/CLDN4/SPINT2/ELF3/MAL2                                                              \n",
       "EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713        KRT18/ALDH1A3/KRT15/KRT16/DSC2/PERP/S100A14/SLPI/SPINT2                                                                       \n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           KRT8/ACTG1/VAMP8/KRT16/DSC2/PERP/EZR/S100A14/SPINT2/TSPO/MAL2                                                                 \n",
       "Claudin_Low_29_Cancer.Res.2009_PMID.19435916      FXYD3/CLDN4/SPINT2/ELF3/MAL2                                                                                                  \n",
       "                                                  Count\n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        21   \n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 13   \n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        11   \n",
       "EMT_DOWN_Weingberg_PNAS.2010_PMID.20713713         9   \n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           11   \n",
       "Claudin_Low_29_Cancer.Res.2009_PMID.19435916       5   "
      ]
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     "data": {
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       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
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       "</style>\n",
       "<ol class=list-inline><li>46</li><li>9</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 46\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 46\n",
       "2. 9\n",
       "\n",
       "\n"
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       "[1] 46  9"
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    },
    {
     "data": {
      "text/html": [
       "filename_xlsx: xlsx/normal-breast-pairs_control_vs_tamoxifen_BEp.xlsx\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "filename_figure: heatmap_normal-breast-pairs_control_vs_tamoxifen_BEp_no_down_mcf7.e2.induced.genes_zscore\n"
      ]
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     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<hr style=\"height:2px\">"
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     "metadata": {},
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    {
     "data": {
      "text/html": [
       "LEp_prog"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "&nbsp;&nbsp;&nbsp;&nbsp;assay=integrated, slot=data<br>"
      ]
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     "metadata": {},
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     "data": {
      "text/html": [
       "&nbsp;&nbsp;&nbsp;&nbsp;tamoxifen LEp_prog n_idx1: 2410, samples: Normal_01_Tamoxifen, Normal_02_Tamoxifen<br>"
      ]
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "&nbsp;&nbsp;&nbsp;&nbsp;control LEp_prog n_idx_ref: 3211, samples: Normal_01_Control, Normal_02_Control<br>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "df_up"
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    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>expr_min</th><th scope=col>expr_mean</th><th scope=col>expr_max</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>MT1M</th><td>1.688899e-242</td><td>0.6655861</td><td>0.447</td><td>0.057</td><td>4.000158e-238</td><td>-0.2192190</td><td>0.3655056</td><td>2.867486</td></tr>\n",
       "\t<tr><th scope=row>SLC30A1</th><td>1.075206e-220</td><td>0.4430192</td><td>0.530</td><td>0.117</td><td>2.546624e-216</td><td>-0.1032656</td><td>0.3509082</td><td>2.357005</td></tr>\n",
       "\t<tr><th scope=row>SQSTM1</th><td>1.020829e-205</td><td>0.5240438</td><td>0.995</td><td>0.988</td><td>2.417833e-201</td><td> 0.0000000</td><td>2.1377009</td><td>4.663515</td></tr>\n",
       "\t<tr><th scope=row>CXCL8</th><td>1.517554e-197</td><td>1.2811797</td><td>0.946</td><td>0.954</td><td>3.594328e-193</td><td>-0.1888420</td><td>2.5409604</td><td>6.017399</td></tr>\n",
       "\t<tr><th scope=row>MT2A</th><td>8.644310e-190</td><td>1.1709810</td><td>0.989</td><td>0.926</td><td>2.047405e-185</td><td> 0.0000000</td><td>2.9918100</td><td>6.596021</td></tr>\n",
       "\t<tr><th scope=row>SPAG9</th><td>5.257315e-187</td><td>0.7573787</td><td>0.902</td><td>0.702</td><td>1.245195e-182</td><td> 0.0000000</td><td>1.2690168</td><td>2.842295</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 8\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & expr\\_min & expr\\_mean & expr\\_max\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tMT1M & 1.688899e-242 & 0.6655861 & 0.447 & 0.057 & 4.000158e-238 & -0.2192190 & 0.3655056 & 2.867486\\\\\n",
       "\tSLC30A1 & 1.075206e-220 & 0.4430192 & 0.530 & 0.117 & 2.546624e-216 & -0.1032656 & 0.3509082 & 2.357005\\\\\n",
       "\tSQSTM1 & 1.020829e-205 & 0.5240438 & 0.995 & 0.988 & 2.417833e-201 &  0.0000000 & 2.1377009 & 4.663515\\\\\n",
       "\tCXCL8 & 1.517554e-197 & 1.2811797 & 0.946 & 0.954 & 3.594328e-193 & -0.1888420 & 2.5409604 & 6.017399\\\\\n",
       "\tMT2A & 8.644310e-190 & 1.1709810 & 0.989 & 0.926 & 2.047405e-185 &  0.0000000 & 2.9918100 & 6.596021\\\\\n",
       "\tSPAG9 & 5.257315e-187 & 0.7573787 & 0.902 & 0.702 & 1.245195e-182 &  0.0000000 & 1.2690168 & 2.842295\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 8\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | expr_min &lt;dbl&gt; | expr_mean &lt;dbl&gt; | expr_max &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| MT1M | 1.688899e-242 | 0.6655861 | 0.447 | 0.057 | 4.000158e-238 | -0.2192190 | 0.3655056 | 2.867486 |\n",
       "| SLC30A1 | 1.075206e-220 | 0.4430192 | 0.530 | 0.117 | 2.546624e-216 | -0.1032656 | 0.3509082 | 2.357005 |\n",
       "| SQSTM1 | 1.020829e-205 | 0.5240438 | 0.995 | 0.988 | 2.417833e-201 |  0.0000000 | 2.1377009 | 4.663515 |\n",
       "| CXCL8 | 1.517554e-197 | 1.2811797 | 0.946 | 0.954 | 3.594328e-193 | -0.1888420 | 2.5409604 | 6.017399 |\n",
       "| MT2A | 8.644310e-190 | 1.1709810 | 0.989 | 0.926 | 2.047405e-185 |  0.0000000 | 2.9918100 | 6.596021 |\n",
       "| SPAG9 | 5.257315e-187 | 0.7573787 | 0.902 | 0.702 | 1.245195e-182 |  0.0000000 | 1.2690168 | 2.842295 |\n",
       "\n"
      ],
      "text/plain": [
       "        p_val         avg_log2FC pct.1 pct.2 p_val_adj     expr_min   expr_mean\n",
       "MT1M    1.688899e-242 0.6655861  0.447 0.057 4.000158e-238 -0.2192190 0.3655056\n",
       "SLC30A1 1.075206e-220 0.4430192  0.530 0.117 2.546624e-216 -0.1032656 0.3509082\n",
       "SQSTM1  1.020829e-205 0.5240438  0.995 0.988 2.417833e-201  0.0000000 2.1377009\n",
       "CXCL8   1.517554e-197 1.2811797  0.946 0.954 3.594328e-193 -0.1888420 2.5409604\n",
       "MT2A    8.644310e-190 1.1709810  0.989 0.926 2.047405e-185  0.0000000 2.9918100\n",
       "SPAG9   5.257315e-187 0.7573787  0.902 0.702 1.245195e-182  0.0000000 1.2690168\n",
       "        expr_max\n",
       "MT1M    2.867486\n",
       "SLC30A1 2.357005\n",
       "SQSTM1  4.663515\n",
       "CXCL8   6.017399\n",
       "MT2A    6.596021\n",
       "SPAG9   2.842295"
      ]
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       "</style>\n",
       "<ol class=list-inline><li>285</li><li>8</li></ol>\n"
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      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 285\n",
       "\\item 8\n",
       "\\end{enumerate*}\n"
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       "1. 285\n",
       "2. 8\n",
       "\n",
       "\n"
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      "text/plain": [
       "[1] 285   8"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>expr_min</th><th scope=col>expr_mean</th><th scope=col>expr_max</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>S100A10</th><td>0</td><td>-1.065813</td><td>0.970</td><td>0.996</td><td>0</td><td>-0.1366832</td><td>2.2635748</td><td>4.918772</td></tr>\n",
       "\t<tr><th scope=row>S100A6</th><td>0</td><td>-1.368022</td><td>0.998</td><td>1.000</td><td>0</td><td> 0.0000000</td><td>2.7032959</td><td>5.504203</td></tr>\n",
       "\t<tr><th scope=row>ACTB</th><td>0</td><td>-1.123139</td><td>0.994</td><td>0.997</td><td>0</td><td> 0.0000000</td><td>2.4312526</td><td>4.764856</td></tr>\n",
       "\t<tr><th scope=row>AZGP1</th><td>0</td><td>-1.316638</td><td>0.711</td><td>0.941</td><td>0</td><td>-1.1890470</td><td>0.5954715</td><td>4.865499</td></tr>\n",
       "\t<tr><th scope=row>CD9</th><td>0</td><td>-1.084422</td><td>0.855</td><td>0.936</td><td>0</td><td>-0.7169299</td><td>0.8954627</td><td>3.321943</td></tr>\n",
       "\t<tr><th scope=row>MGP</th><td>0</td><td>-1.155150</td><td>0.912</td><td>0.964</td><td>0</td><td>-0.7262379</td><td>0.9215396</td><td>5.769526</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 8\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & expr\\_min & expr\\_mean & expr\\_max\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tS100A10 & 0 & -1.065813 & 0.970 & 0.996 & 0 & -0.1366832 & 2.2635748 & 4.918772\\\\\n",
       "\tS100A6 & 0 & -1.368022 & 0.998 & 1.000 & 0 &  0.0000000 & 2.7032959 & 5.504203\\\\\n",
       "\tACTB & 0 & -1.123139 & 0.994 & 0.997 & 0 &  0.0000000 & 2.4312526 & 4.764856\\\\\n",
       "\tAZGP1 & 0 & -1.316638 & 0.711 & 0.941 & 0 & -1.1890470 & 0.5954715 & 4.865499\\\\\n",
       "\tCD9 & 0 & -1.084422 & 0.855 & 0.936 & 0 & -0.7169299 & 0.8954627 & 3.321943\\\\\n",
       "\tMGP & 0 & -1.155150 & 0.912 & 0.964 & 0 & -0.7262379 & 0.9215396 & 5.769526\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 8\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | expr_min &lt;dbl&gt; | expr_mean &lt;dbl&gt; | expr_max &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| S100A10 | 0 | -1.065813 | 0.970 | 0.996 | 0 | -0.1366832 | 2.2635748 | 4.918772 |\n",
       "| S100A6 | 0 | -1.368022 | 0.998 | 1.000 | 0 |  0.0000000 | 2.7032959 | 5.504203 |\n",
       "| ACTB | 0 | -1.123139 | 0.994 | 0.997 | 0 |  0.0000000 | 2.4312526 | 4.764856 |\n",
       "| AZGP1 | 0 | -1.316638 | 0.711 | 0.941 | 0 | -1.1890470 | 0.5954715 | 4.865499 |\n",
       "| CD9 | 0 | -1.084422 | 0.855 | 0.936 | 0 | -0.7169299 | 0.8954627 | 3.321943 |\n",
       "| MGP | 0 | -1.155150 | 0.912 | 0.964 | 0 | -0.7262379 | 0.9215396 | 5.769526 |\n",
       "\n"
      ],
      "text/plain": [
       "        p_val avg_log2FC pct.1 pct.2 p_val_adj expr_min   expr_mean expr_max\n",
       "S100A10 0     -1.065813  0.970 0.996 0         -0.1366832 2.2635748 4.918772\n",
       "S100A6  0     -1.368022  0.998 1.000 0          0.0000000 2.7032959 5.504203\n",
       "ACTB    0     -1.123139  0.994 0.997 0          0.0000000 2.4312526 4.764856\n",
       "AZGP1   0     -1.316638  0.711 0.941 0         -1.1890470 0.5954715 4.865499\n",
       "CD9     0     -1.084422  0.855 0.936 0         -0.7169299 0.8954627 3.321943\n",
       "MGP     0     -1.155150  0.912 0.964 0         -0.7262379 0.9215396 5.769526"
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       "</style>\n",
       "<ol class=list-inline><li>536</li><li>8</li></ol>\n"
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      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 536\n",
       "\\item 8\n",
       "\\end{enumerate*}\n"
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       "1. 536\n",
       "2. 8\n",
       "\n",
       "\n"
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      "text/plain": [
       "[1] 536   8"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>HALLMARK_TNFA_SIGNALING_VIA_NFKB</th><td>HALLMARK_TNFA_SIGNALING_VIA_NFKB          </td><td>HALLMARK_TNFA_SIGNALING_VIA_NFKB          </td><td>60/158</td><td>200/4386</td><td>2.519290e-42</td><td>1.184066e-40</td><td>7.425274e-41</td><td>SQSTM1/KDM6B/PNRC1/PPP1R15A/SOD2/GEM/TNFAIP3/NFIL3/REL/CCNL1/IL6/NR4A1/FOS/NFKB1/FOSB/NFKBIA/HBEGF/ZBTB10/ICAM1/ATF3/KLF9/NFAT5/DUSP5/PDE4B/KLF4/ZFP36/INHBA/PTGS2/DNAJB4/EGR1/GADD45A/TIPARP/MCL1/NFE2L2/GADD45B/BHLHE40/NR4A2/VEGFA/CDKN1A/LIF/NAMPT/MYC/IRF1/SOCS3/HES1/TNFAIP6/TRIB1/CXCL2/MAP2K3/ETS2/BTG1/CEBPB/IER5/JUN/G0S2/KLF10/CXCL3/SERPINE1/JUNB/CXCL1</td><td>60</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_HYPOXIA</th><td>HALLMARK_HYPOXIA                          </td><td>HALLMARK_HYPOXIA                          </td><td>29/158</td><td>200/4386</td><td>4.534647e-11</td><td>1.065642e-09</td><td>6.682638e-10</td><td>MT2A/PNRC1/PPP1R15A/HMOX1/TNFAIP3/DDIT3/MT1E/NFIL3/IL6/FOS/ATF3/NDRG1/ZFP36/DDIT4/ETS1/CSRP2/TIPARP/NR3C1/PLIN2/BHLHE40/WSB1/VEGFA/CDKN1A/PIM1/CAV1/HSPA5/BTG1/JUN/SERPINE1                                                                                                                                                                                        </td><td>29</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_UV_RESPONSE_UP</th><td>HALLMARK_UV_RESPONSE_UP                   </td><td>HALLMARK_UV_RESPONSE_UP                   </td><td>19/158</td><td>158/4386</td><td>2.706236e-06</td><td>4.239770e-05</td><td>2.658758e-05</td><td>SQSTM1/HMOX1/SOD2/IL6/NR4A1/FOS/FOSB/NFKBIA/ICAM1/ATF3/HSPA13/DDX21/DNAJA1/DNAJB1/IRF1/EIF5/CXCL2/BTG1/JUNB                                                                                                                                                                                                                                                        </td><td>19</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION</th><td>HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION</td><td>HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION</td><td>21/158</td><td>200/4386</td><td>7.092643e-06</td><td>8.333856e-05</td><td>5.226158e-05</td><td>GEM/TNFAIP3/IL6/DAB2/VIM/TIMP3/FGF2/INHBA/COL4A1/GADD45A/GADD45B/PRRX1/SERPINE2/SPARC/VEGFA/JUN/TFPI2/MMP3/LGALS1/SERPINE1/CXCL1                                                                                                                                                                                                                                   </td><td>21</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MTORC1_SIGNALING</th><td>HALLMARK_MTORC1_SIGNALING                 </td><td>HALLMARK_MTORC1_SIGNALING                 </td><td>20/158</td><td>200/4386</td><td>2.482021e-05</td><td>2.333100e-04</td><td>1.463086e-04</td><td>SQSTM1/PPP1R15A/INSIG1/DDIT3/NFIL3/IFRD1/FAM129A/IDI1/TXNRD1/DDIT4/HSP90B1/BHLHE40/MTHFD2/LGMN/CDKN1A/HSPA9/NAMPT/HSPA5/MAP2K3/ETF1                                                                                                                                                                                                                                </td><td>20</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_APOPTOSIS</th><td>HALLMARK_APOPTOSIS                        </td><td>HALLMARK_APOPTOSIS                        </td><td>17/158</td><td>161/4386</td><td>5.283092e-05</td><td>4.138422e-04</td><td>2.595203e-04</td><td>SQSTM1/HMOX1/SOD2/DDIT3/IL6/CYLD/ATF3/TIMP3/GADD45A/MCL1/GADD45B/DNAJA1/CDKN1A/IRF1/CAV1/ETF1/JUN                                                                                                                                                                                                                                                                  </td><td>17</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tHALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB & HALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB           & HALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB           & 60/158 & 200/4386 & 2.519290e-42 & 1.184066e-40 & 7.425274e-41 & SQSTM1/KDM6B/PNRC1/PPP1R15A/SOD2/GEM/TNFAIP3/NFIL3/REL/CCNL1/IL6/NR4A1/FOS/NFKB1/FOSB/NFKBIA/HBEGF/ZBTB10/ICAM1/ATF3/KLF9/NFAT5/DUSP5/PDE4B/KLF4/ZFP36/INHBA/PTGS2/DNAJB4/EGR1/GADD45A/TIPARP/MCL1/NFE2L2/GADD45B/BHLHE40/NR4A2/VEGFA/CDKN1A/LIF/NAMPT/MYC/IRF1/SOCS3/HES1/TNFAIP6/TRIB1/CXCL2/MAP2K3/ETS2/BTG1/CEBPB/IER5/JUN/G0S2/KLF10/CXCL3/SERPINE1/JUNB/CXCL1 & 60\\\\\n",
       "\tHALLMARK\\_HYPOXIA & HALLMARK\\_HYPOXIA                           & HALLMARK\\_HYPOXIA                           & 29/158 & 200/4386 & 4.534647e-11 & 1.065642e-09 & 6.682638e-10 & MT2A/PNRC1/PPP1R15A/HMOX1/TNFAIP3/DDIT3/MT1E/NFIL3/IL6/FOS/ATF3/NDRG1/ZFP36/DDIT4/ETS1/CSRP2/TIPARP/NR3C1/PLIN2/BHLHE40/WSB1/VEGFA/CDKN1A/PIM1/CAV1/HSPA5/BTG1/JUN/SERPINE1                                                                                                                                                                                         & 29\\\\\n",
       "\tHALLMARK\\_UV\\_RESPONSE\\_UP & HALLMARK\\_UV\\_RESPONSE\\_UP                    & HALLMARK\\_UV\\_RESPONSE\\_UP                    & 19/158 & 158/4386 & 2.706236e-06 & 4.239770e-05 & 2.658758e-05 & SQSTM1/HMOX1/SOD2/IL6/NR4A1/FOS/FOSB/NFKBIA/ICAM1/ATF3/HSPA13/DDX21/DNAJA1/DNAJB1/IRF1/EIF5/CXCL2/BTG1/JUNB                                                                                                                                                                                                                                                         & 19\\\\\n",
       "\tHALLMARK\\_EPITHELIAL\\_MESENCHYMAL\\_TRANSITION & HALLMARK\\_EPITHELIAL\\_MESENCHYMAL\\_TRANSITION & HALLMARK\\_EPITHELIAL\\_MESENCHYMAL\\_TRANSITION & 21/158 & 200/4386 & 7.092643e-06 & 8.333856e-05 & 5.226158e-05 & GEM/TNFAIP3/IL6/DAB2/VIM/TIMP3/FGF2/INHBA/COL4A1/GADD45A/GADD45B/PRRX1/SERPINE2/SPARC/VEGFA/JUN/TFPI2/MMP3/LGALS1/SERPINE1/CXCL1                                                                                                                                                                                                                                    & 21\\\\\n",
       "\tHALLMARK\\_MTORC1\\_SIGNALING & HALLMARK\\_MTORC1\\_SIGNALING                  & HALLMARK\\_MTORC1\\_SIGNALING                  & 20/158 & 200/4386 & 2.482021e-05 & 2.333100e-04 & 1.463086e-04 & SQSTM1/PPP1R15A/INSIG1/DDIT3/NFIL3/IFRD1/FAM129A/IDI1/TXNRD1/DDIT4/HSP90B1/BHLHE40/MTHFD2/LGMN/CDKN1A/HSPA9/NAMPT/HSPA5/MAP2K3/ETF1                                                                                                                                                                                                                                 & 20\\\\\n",
       "\tHALLMARK\\_APOPTOSIS & HALLMARK\\_APOPTOSIS                         & HALLMARK\\_APOPTOSIS                         & 17/158 & 161/4386 & 5.283092e-05 & 4.138422e-04 & 2.595203e-04 & SQSTM1/HMOX1/SOD2/DDIT3/IL6/CYLD/ATF3/TIMP3/GADD45A/MCL1/GADD45B/DNAJA1/CDKN1A/IRF1/CAV1/ETF1/JUN                                                                                                                                                                                                                                                                   & 17\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| HALLMARK_TNFA_SIGNALING_VIA_NFKB | HALLMARK_TNFA_SIGNALING_VIA_NFKB           | HALLMARK_TNFA_SIGNALING_VIA_NFKB           | 60/158 | 200/4386 | 2.519290e-42 | 1.184066e-40 | 7.425274e-41 | SQSTM1/KDM6B/PNRC1/PPP1R15A/SOD2/GEM/TNFAIP3/NFIL3/REL/CCNL1/IL6/NR4A1/FOS/NFKB1/FOSB/NFKBIA/HBEGF/ZBTB10/ICAM1/ATF3/KLF9/NFAT5/DUSP5/PDE4B/KLF4/ZFP36/INHBA/PTGS2/DNAJB4/EGR1/GADD45A/TIPARP/MCL1/NFE2L2/GADD45B/BHLHE40/NR4A2/VEGFA/CDKN1A/LIF/NAMPT/MYC/IRF1/SOCS3/HES1/TNFAIP6/TRIB1/CXCL2/MAP2K3/ETS2/BTG1/CEBPB/IER5/JUN/G0S2/KLF10/CXCL3/SERPINE1/JUNB/CXCL1 | 60 |\n",
       "| HALLMARK_HYPOXIA | HALLMARK_HYPOXIA                           | HALLMARK_HYPOXIA                           | 29/158 | 200/4386 | 4.534647e-11 | 1.065642e-09 | 6.682638e-10 | MT2A/PNRC1/PPP1R15A/HMOX1/TNFAIP3/DDIT3/MT1E/NFIL3/IL6/FOS/ATF3/NDRG1/ZFP36/DDIT4/ETS1/CSRP2/TIPARP/NR3C1/PLIN2/BHLHE40/WSB1/VEGFA/CDKN1A/PIM1/CAV1/HSPA5/BTG1/JUN/SERPINE1                                                                                                                                                                                         | 29 |\n",
       "| HALLMARK_UV_RESPONSE_UP | HALLMARK_UV_RESPONSE_UP                    | HALLMARK_UV_RESPONSE_UP                    | 19/158 | 158/4386 | 2.706236e-06 | 4.239770e-05 | 2.658758e-05 | SQSTM1/HMOX1/SOD2/IL6/NR4A1/FOS/FOSB/NFKBIA/ICAM1/ATF3/HSPA13/DDX21/DNAJA1/DNAJB1/IRF1/EIF5/CXCL2/BTG1/JUNB                                                                                                                                                                                                                                                         | 19 |\n",
       "| HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION | HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION | HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION | 21/158 | 200/4386 | 7.092643e-06 | 8.333856e-05 | 5.226158e-05 | GEM/TNFAIP3/IL6/DAB2/VIM/TIMP3/FGF2/INHBA/COL4A1/GADD45A/GADD45B/PRRX1/SERPINE2/SPARC/VEGFA/JUN/TFPI2/MMP3/LGALS1/SERPINE1/CXCL1                                                                                                                                                                                                                                    | 21 |\n",
       "| HALLMARK_MTORC1_SIGNALING | HALLMARK_MTORC1_SIGNALING                  | HALLMARK_MTORC1_SIGNALING                  | 20/158 | 200/4386 | 2.482021e-05 | 2.333100e-04 | 1.463086e-04 | SQSTM1/PPP1R15A/INSIG1/DDIT3/NFIL3/IFRD1/FAM129A/IDI1/TXNRD1/DDIT4/HSP90B1/BHLHE40/MTHFD2/LGMN/CDKN1A/HSPA9/NAMPT/HSPA5/MAP2K3/ETF1                                                                                                                                                                                                                                 | 20 |\n",
       "| HALLMARK_APOPTOSIS | HALLMARK_APOPTOSIS                         | HALLMARK_APOPTOSIS                         | 17/158 | 161/4386 | 5.283092e-05 | 4.138422e-04 | 2.595203e-04 | SQSTM1/HMOX1/SOD2/DDIT3/IL6/CYLD/ATF3/TIMP3/GADD45A/MCL1/GADD45B/DNAJA1/CDKN1A/IRF1/CAV1/ETF1/JUN                                                                                                                                                                                                                                                                   | 17 |\n",
       "\n"
      ],
      "text/plain": [
       "                                           ID                                        \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB           HALLMARK_TNFA_SIGNALING_VIA_NFKB          \n",
       "HALLMARK_HYPOXIA                           HALLMARK_HYPOXIA                          \n",
       "HALLMARK_UV_RESPONSE_UP                    HALLMARK_UV_RESPONSE_UP                   \n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION\n",
       "HALLMARK_MTORC1_SIGNALING                  HALLMARK_MTORC1_SIGNALING                 \n",
       "HALLMARK_APOPTOSIS                         HALLMARK_APOPTOSIS                        \n",
       "                                           Description                               \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB           HALLMARK_TNFA_SIGNALING_VIA_NFKB          \n",
       "HALLMARK_HYPOXIA                           HALLMARK_HYPOXIA                          \n",
       "HALLMARK_UV_RESPONSE_UP                    HALLMARK_UV_RESPONSE_UP                   \n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION\n",
       "HALLMARK_MTORC1_SIGNALING                  HALLMARK_MTORC1_SIGNALING                 \n",
       "HALLMARK_APOPTOSIS                         HALLMARK_APOPTOSIS                        \n",
       "                                           GeneRatio BgRatio  pvalue      \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB           60/158    200/4386 2.519290e-42\n",
       "HALLMARK_HYPOXIA                           29/158    200/4386 4.534647e-11\n",
       "HALLMARK_UV_RESPONSE_UP                    19/158    158/4386 2.706236e-06\n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION 21/158    200/4386 7.092643e-06\n",
       "HALLMARK_MTORC1_SIGNALING                  20/158    200/4386 2.482021e-05\n",
       "HALLMARK_APOPTOSIS                         17/158    161/4386 5.283092e-05\n",
       "                                           p.adjust     qvalue      \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB           1.184066e-40 7.425274e-41\n",
       "HALLMARK_HYPOXIA                           1.065642e-09 6.682638e-10\n",
       "HALLMARK_UV_RESPONSE_UP                    4.239770e-05 2.658758e-05\n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION 8.333856e-05 5.226158e-05\n",
       "HALLMARK_MTORC1_SIGNALING                  2.333100e-04 1.463086e-04\n",
       "HALLMARK_APOPTOSIS                         4.138422e-04 2.595203e-04\n",
       "                                           geneID                                                                                                                                                                                                                                                                                                                                                             \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB           SQSTM1/KDM6B/PNRC1/PPP1R15A/SOD2/GEM/TNFAIP3/NFIL3/REL/CCNL1/IL6/NR4A1/FOS/NFKB1/FOSB/NFKBIA/HBEGF/ZBTB10/ICAM1/ATF3/KLF9/NFAT5/DUSP5/PDE4B/KLF4/ZFP36/INHBA/PTGS2/DNAJB4/EGR1/GADD45A/TIPARP/MCL1/NFE2L2/GADD45B/BHLHE40/NR4A2/VEGFA/CDKN1A/LIF/NAMPT/MYC/IRF1/SOCS3/HES1/TNFAIP6/TRIB1/CXCL2/MAP2K3/ETS2/BTG1/CEBPB/IER5/JUN/G0S2/KLF10/CXCL3/SERPINE1/JUNB/CXCL1\n",
       "HALLMARK_HYPOXIA                           MT2A/PNRC1/PPP1R15A/HMOX1/TNFAIP3/DDIT3/MT1E/NFIL3/IL6/FOS/ATF3/NDRG1/ZFP36/DDIT4/ETS1/CSRP2/TIPARP/NR3C1/PLIN2/BHLHE40/WSB1/VEGFA/CDKN1A/PIM1/CAV1/HSPA5/BTG1/JUN/SERPINE1                                                                                                                                                                                        \n",
       "HALLMARK_UV_RESPONSE_UP                    SQSTM1/HMOX1/SOD2/IL6/NR4A1/FOS/FOSB/NFKBIA/ICAM1/ATF3/HSPA13/DDX21/DNAJA1/DNAJB1/IRF1/EIF5/CXCL2/BTG1/JUNB                                                                                                                                                                                                                                                        \n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION GEM/TNFAIP3/IL6/DAB2/VIM/TIMP3/FGF2/INHBA/COL4A1/GADD45A/GADD45B/PRRX1/SERPINE2/SPARC/VEGFA/JUN/TFPI2/MMP3/LGALS1/SERPINE1/CXCL1                                                                                                                                                                                                                                   \n",
       "HALLMARK_MTORC1_SIGNALING                  SQSTM1/PPP1R15A/INSIG1/DDIT3/NFIL3/IFRD1/FAM129A/IDI1/TXNRD1/DDIT4/HSP90B1/BHLHE40/MTHFD2/LGMN/CDKN1A/HSPA9/NAMPT/HSPA5/MAP2K3/ETF1                                                                                                                                                                                                                                \n",
       "HALLMARK_APOPTOSIS                         SQSTM1/HMOX1/SOD2/DDIT3/IL6/CYLD/ATF3/TIMP3/GADD45A/MCL1/GADD45B/DNAJA1/CDKN1A/IRF1/CAV1/ETF1/JUN                                                                                                                                                                                                                                                                  \n",
       "                                           Count\n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB           60   \n",
       "HALLMARK_HYPOXIA                           29   \n",
       "HALLMARK_UV_RESPONSE_UP                    19   \n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION 21   \n",
       "HALLMARK_MTORC1_SIGNALING                  20   \n",
       "HALLMARK_APOPTOSIS                         17   "
      ]
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       "<ol class=list-inline><li>16</li><li>9</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item 16\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 16\n",
       "2. 9\n",
       "\n",
       "\n"
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       "[1] 16  9"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795</th><td>Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 </td><td>Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 </td><td>38/281</td><td>141/19982</td><td>3.405637e-38</td><td>1.106832e-35</td><td>7.779193e-36</td><td>SQSTM1/KDM6B/HMOX1/SOD2/GEM/TNFAIP3/NFIL3/REL/NR4A1/IFRD1/FOSB/NFKBIA/ICAM1/ATF3/ARL5B/SPRY2/DUSP5/RYBP/DENND4A/NFKBIZ/DNAJB4/GADD45A/TIPARP/NFE2L2/GADD45B/NR4A2/CDKN1A/CREM/PIM1/TRIB1/MAP2K3/CEBPB/IER5/JUN/HSPA1A/CXCL3/SKIL/JUNB</td><td>38</td></tr>\n",
       "\t<tr><th scope=row>GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP</th><td>GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              </td><td>GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              </td><td>26/281</td><td>58/19982 </td><td>3.249587e-33</td><td>5.280578e-31</td><td>3.711370e-31</td><td>KDM6B/GEM/NR4A1/FOS/FOSB/HBEGF/ATF3/DUSP5/RYBP/ZFP36/EGR1/KBTBD2/TIPARP/MCL1/BHLHE40/NR4A2/LIF/DNAJB1/MYC/HES1/TRIB1/ETS2/JUN/ID3/KLF10/JUNB                                                                                         </td><td>26</td></tr>\n",
       "\t<tr><th scope=row>TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490</th><td>TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               </td><td>TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               </td><td>11/281</td><td>14/19982 </td><td>1.226614e-18</td><td>1.328832e-16</td><td>9.339483e-17</td><td>PPP1R15A/IL6/NR4A1/FOSB/HBEGF/ATF3/CSRNP1/ZFP36/EGR1/SOCS3/JUN                                                                                                                                                                       </td><td>11</td></tr>\n",
       "\t<tr><th scope=row>Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795</th><td>Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795</td><td>Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795</td><td>22/281</td><td>127/19982</td><td>5.247955e-18</td><td>4.263963e-16</td><td>2.996858e-16</td><td>SOD2/GEM/TNFAIP3/NFIL3/NR4A1/IRAK2/NFKBIA/IFI16/ATF3/ARL5B/DUSP5/RYBP/DENND4A/NFKBIZ/EGR1/GADD45B/NR4A2/CDKN1A/CREM/NAMPT/CEBPB/CXCL3                                                                                                </td><td>22</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                        </td><td>UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                        </td><td>16/281</td><td>52/19982 </td><td>1.003842e-17</td><td>6.524972e-16</td><td>4.585972e-16</td><td>GEM/IL6/NR4A1/FOS/FOSB/HBEGF/ATF3/KLF4/ZFP36/PTGS2/EGR1/NR4A2/TRIB1/JUN/SERPINE1/JUNB                                                                                                                                                </td><td>16</td></tr>\n",
       "\t<tr><th scope=row>FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954</th><td>FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                     </td><td>FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                     </td><td>10/281</td><td>16/19982 </td><td>1.916423e-15</td><td>1.038062e-13</td><td>7.295854e-14</td><td>PPP1R15A/GEM/NR4A1/FOS/FOSB/ATF3/ZFP36/EGR1/JUN/JUNB                                                                                                                                                                                 </td><td>10</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tTcell\\_EXH\\_Memory\\_CD8\\_T\\_cell\\_a\\_vs\\_Naive\\_CD8\\_T\\_cell\\_Metagene\\_3\\_Science.2016\\_PMID.27789795 & Tcell\\_EXH\\_Memory\\_CD8\\_T\\_cell\\_a\\_vs\\_Naive\\_CD8\\_T\\_cell\\_Metagene\\_3\\_Science.2016\\_PMID.27789795  & Tcell\\_EXH\\_Memory\\_CD8\\_T\\_cell\\_a\\_vs\\_Naive\\_CD8\\_T\\_cell\\_Metagene\\_3\\_Science.2016\\_PMID.27789795  & 38/281 & 141/19982 & 3.405637e-38 & 1.106832e-35 & 7.779193e-36 & SQSTM1/KDM6B/HMOX1/SOD2/GEM/TNFAIP3/NFIL3/REL/NR4A1/IFRD1/FOSB/NFKBIA/ICAM1/ATF3/ARL5B/SPRY2/DUSP5/RYBP/DENND4A/NFKBIZ/DNAJB4/GADD45A/TIPARP/NFE2L2/GADD45B/NR4A2/CDKN1A/CREM/PIM1/TRIB1/MAP2K3/CEBPB/IER5/JUN/HSPA1A/CXCL3/SKIL/JUNB & 38\\\\\n",
       "\tGSEA\\_GP15\\_EGF\\_signailng.r=0.936\\_NAGASHIMA\\_EGF\\_SIGNALING\\_UP & GSEA\\_GP15\\_EGF\\_signailng.r=0.936\\_NAGASHIMA\\_EGF\\_SIGNALING\\_UP                               & GSEA\\_GP15\\_EGF\\_signailng.r=0.936\\_NAGASHIMA\\_EGF\\_SIGNALING\\_UP                               & 26/281 & 58/19982  & 3.249587e-33 & 5.280578e-31 & 3.711370e-31 & KDM6B/GEM/NR4A1/FOS/FOSB/HBEGF/ATF3/DUSP5/RYBP/ZFP36/EGR1/KBTBD2/TIPARP/MCL1/BHLHE40/NR4A2/LIF/DNAJB1/MYC/HES1/TRIB1/ETS2/JUN/ID3/KLF10/JUNB                                                                                          & 26\\\\\n",
       "\tTCGA.BRCA.1198\\_immune\\_FOS\\_JUN\\_IL6\\_Cell.2015\\_PMID.26451490 & TCGA.BRCA.1198\\_immune\\_FOS\\_JUN\\_IL6\\_Cell.2015\\_PMID.26451490                                & TCGA.BRCA.1198\\_immune\\_FOS\\_JUN\\_IL6\\_Cell.2015\\_PMID.26451490                                & 11/281 & 14/19982  & 1.226614e-18 & 1.328832e-16 & 9.339483e-17 & PPP1R15A/IL6/NR4A1/FOSB/HBEGF/ATF3/CSRNP1/ZFP36/EGR1/SOCS3/JUN                                                                                                                                                                        & 11\\\\\n",
       "\tTcell\\_EXH\\_Exhausted\\_CD8\\_T\\_cell\\_vs\\_Naive\\_CD8\\_T\\_cell\\_Metagene\\_1\\_Science.2016\\_PMID.27789795 & Tcell\\_EXH\\_Exhausted\\_CD8\\_T\\_cell\\_vs\\_Naive\\_CD8\\_T\\_cell\\_Metagene\\_1\\_Science.2016\\_PMID.27789795 & Tcell\\_EXH\\_Exhausted\\_CD8\\_T\\_cell\\_vs\\_Naive\\_CD8\\_T\\_cell\\_Metagene\\_1\\_Science.2016\\_PMID.27789795 & 22/281 & 127/19982 & 5.247955e-18 & 4.263963e-16 & 2.996858e-16 & SOD2/GEM/TNFAIP3/NFIL3/NR4A1/IRAK2/NFKBIA/IFI16/ATF3/ARL5B/DUSP5/RYBP/DENND4A/NFKBIZ/EGR1/GADD45B/NR4A2/CDKN1A/CREM/NAMPT/CEBPB/CXCL3                                                                                                 & 22\\\\\n",
       "\tUNC\\_HS\\_Red24\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Red24\\_BMC.Med.Genomics.2011\\_PMID.21214954                                         & UNC\\_HS\\_Red24\\_BMC.Med.Genomics.2011\\_PMID.21214954                                         & 16/281 & 52/19982  & 1.003842e-17 & 6.524972e-16 & 4.585972e-16 & GEM/IL6/NR4A1/FOS/FOSB/HBEGF/ATF3/KLF4/ZFP36/PTGS2/EGR1/NR4A2/TRIB1/JUN/SERPINE1/JUNB                                                                                                                                                 & 16\\\\\n",
       "\tFOS\\_JUN\\_Cluster\\_BMC.Med.Genomics.2011\\_PMID.21214954 & FOS\\_JUN\\_Cluster\\_BMC.Med.Genomics.2011\\_PMID.21214954                                      & FOS\\_JUN\\_Cluster\\_BMC.Med.Genomics.2011\\_PMID.21214954                                      & 10/281 & 16/19982  & 1.916423e-15 & 1.038062e-13 & 7.295854e-14 & PPP1R15A/GEM/NR4A1/FOS/FOSB/ATF3/ZFP36/EGR1/JUN/JUNB                                                                                                                                                                                  & 10\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 | Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795  | Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795  | 38/281 | 141/19982 | 3.405637e-38 | 1.106832e-35 | 7.779193e-36 | SQSTM1/KDM6B/HMOX1/SOD2/GEM/TNFAIP3/NFIL3/REL/NR4A1/IFRD1/FOSB/NFKBIA/ICAM1/ATF3/ARL5B/SPRY2/DUSP5/RYBP/DENND4A/NFKBIZ/DNAJB4/GADD45A/TIPARP/NFE2L2/GADD45B/NR4A2/CDKN1A/CREM/PIM1/TRIB1/MAP2K3/CEBPB/IER5/JUN/HSPA1A/CXCL3/SKIL/JUNB | 38 |\n",
       "| GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP | GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                               | GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                               | 26/281 | 58/19982  | 3.249587e-33 | 5.280578e-31 | 3.711370e-31 | KDM6B/GEM/NR4A1/FOS/FOSB/HBEGF/ATF3/DUSP5/RYBP/ZFP36/EGR1/KBTBD2/TIPARP/MCL1/BHLHE40/NR4A2/LIF/DNAJB1/MYC/HES1/TRIB1/ETS2/JUN/ID3/KLF10/JUNB                                                                                          | 26 |\n",
       "| TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490 | TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                                | TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                                | 11/281 | 14/19982  | 1.226614e-18 | 1.328832e-16 | 9.339483e-17 | PPP1R15A/IL6/NR4A1/FOSB/HBEGF/ATF3/CSRNP1/ZFP36/EGR1/SOCS3/JUN                                                                                                                                                                        | 11 |\n",
       "| Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795 | Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795 | Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795 | 22/281 | 127/19982 | 5.247955e-18 | 4.263963e-16 | 2.996858e-16 | SOD2/GEM/TNFAIP3/NFIL3/NR4A1/IRAK2/NFKBIA/IFI16/ATF3/ARL5B/DUSP5/RYBP/DENND4A/NFKBIZ/EGR1/GADD45B/NR4A2/CDKN1A/CREM/NAMPT/CEBPB/CXCL3                                                                                                 | 22 |\n",
       "| UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                         | UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                         | 16/281 | 52/19982  | 1.003842e-17 | 6.524972e-16 | 4.585972e-16 | GEM/IL6/NR4A1/FOS/FOSB/HBEGF/ATF3/KLF4/ZFP36/PTGS2/EGR1/NR4A2/TRIB1/JUN/SERPINE1/JUNB                                                                                                                                                 | 16 |\n",
       "| FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954 | FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                      | FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                      | 10/281 | 16/19982  | 1.916423e-15 | 1.038062e-13 | 7.295854e-14 | PPP1R15A/GEM/NR4A1/FOS/FOSB/ATF3/ZFP36/EGR1/JUN/JUNB                                                                                                                                                                                  | 10 |\n",
       "\n"
      ],
      "text/plain": [
       "                                                                                         ID                                                                                      \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795  Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 \n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                               GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              \n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                                TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               \n",
       "Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795 Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795\n",
       "UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                         UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                        \n",
       "FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                      FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                     \n",
       "                                                                                         Description                                                                             \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795  Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 \n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                               GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              \n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                                TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               \n",
       "Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795 Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795\n",
       "UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                         UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                        \n",
       "FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                      FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                     \n",
       "                                                                                         GeneRatio\n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795  38/281   \n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                               26/281   \n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                                11/281   \n",
       "Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795 22/281   \n",
       "UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                         16/281   \n",
       "FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                      10/281   \n",
       "                                                                                         BgRatio  \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795  141/19982\n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                               58/19982 \n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                                14/19982 \n",
       "Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795 127/19982\n",
       "UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                         52/19982 \n",
       "FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                      16/19982 \n",
       "                                                                                         pvalue      \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795  3.405637e-38\n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                               3.249587e-33\n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                                1.226614e-18\n",
       "Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795 5.247955e-18\n",
       "UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                         1.003842e-17\n",
       "FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                      1.916423e-15\n",
       "                                                                                         p.adjust    \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795  1.106832e-35\n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                               5.280578e-31\n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                                1.328832e-16\n",
       "Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795 4.263963e-16\n",
       "UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                         6.524972e-16\n",
       "FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                      1.038062e-13\n",
       "                                                                                         qvalue      \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795  7.779193e-36\n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                               3.711370e-31\n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                                9.339483e-17\n",
       "Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795 2.996858e-16\n",
       "UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                         4.585972e-16\n",
       "FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                      7.295854e-14\n",
       "                                                                                         geneID                                                                                                                                                                                                                               \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795  SQSTM1/KDM6B/HMOX1/SOD2/GEM/TNFAIP3/NFIL3/REL/NR4A1/IFRD1/FOSB/NFKBIA/ICAM1/ATF3/ARL5B/SPRY2/DUSP5/RYBP/DENND4A/NFKBIZ/DNAJB4/GADD45A/TIPARP/NFE2L2/GADD45B/NR4A2/CDKN1A/CREM/PIM1/TRIB1/MAP2K3/CEBPB/IER5/JUN/HSPA1A/CXCL3/SKIL/JUNB\n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                               KDM6B/GEM/NR4A1/FOS/FOSB/HBEGF/ATF3/DUSP5/RYBP/ZFP36/EGR1/KBTBD2/TIPARP/MCL1/BHLHE40/NR4A2/LIF/DNAJB1/MYC/HES1/TRIB1/ETS2/JUN/ID3/KLF10/JUNB                                                                                         \n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                                PPP1R15A/IL6/NR4A1/FOSB/HBEGF/ATF3/CSRNP1/ZFP36/EGR1/SOCS3/JUN                                                                                                                                                                       \n",
       "Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795 SOD2/GEM/TNFAIP3/NFIL3/NR4A1/IRAK2/NFKBIA/IFI16/ATF3/ARL5B/DUSP5/RYBP/DENND4A/NFKBIZ/EGR1/GADD45B/NR4A2/CDKN1A/CREM/NAMPT/CEBPB/CXCL3                                                                                                \n",
       "UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                         GEM/IL6/NR4A1/FOS/FOSB/HBEGF/ATF3/KLF4/ZFP36/PTGS2/EGR1/NR4A2/TRIB1/JUN/SERPINE1/JUNB                                                                                                                                                \n",
       "FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                      PPP1R15A/GEM/NR4A1/FOS/FOSB/ATF3/ZFP36/EGR1/JUN/JUNB                                                                                                                                                                                 \n",
       "                                                                                         Count\n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795  38   \n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                               26   \n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                                11   \n",
       "Tcell_EXH_Exhausted_CD8_T_cell_vs_Naive_CD8_T_cell_Metagene_1_Science.2016_PMID.27789795 22   \n",
       "UNC_HS_Red24_BMC.Med.Genomics.2011_PMID.21214954                                         16   \n",
       "FOS_JUN_Cluster_BMC.Med.Genomics.2011_PMID.21214954                                      10   "
      ]
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       "</style>\n",
       "<ol class=list-inline><li>88</li><li>9</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 88\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 88\n",
       "2. 9\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 88  9"
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       "down h"
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     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 3 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>HALLMARK_OXIDATIVE_PHOSPHORYLATION</th><td>HALLMARK_OXIDATIVE_PHOSPHORYLATION</td><td>HALLMARK_OXIDATIVE_PHOSPHORYLATION</td><td>45/275</td><td>200/4386</td><td>6.599832e-15</td><td>3.233918e-13</td><td>2.848349e-13</td><td>LDHA/ATP1B1/CYB5A/NDUFV2/COX4I1/NDUFA4/COX6C/GPX4/ATP6V0B/MGST3/COX6A1/NDUFC2/COX7A2/COX7C/COX5B/NDUFB7/UQCR10/COX5A/NDUFB2/IDH2/NDUFS6/VDAC2/ATP6V1G1/SLC25A3/COX6B1/ATP6V0E1/NDUFAB1/UQCR11/TIMM13/MDH2/UQCRFS1/COX8A/NDUFS8/UQCRB/TIMM8B/VDAC1/ATP6V1F/NDUFB8/UQCRQ/VDAC3/ECHS1/PRDX3/MRPS15/COX17/NDUFC1</td><td>45</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MYC_TARGETS_V1</th><td>HALLMARK_MYC_TARGETS_V1           </td><td>HALLMARK_MYC_TARGETS_V1           </td><td>39/275</td><td>200/4386</td><td>6.082563e-11</td><td>1.490228e-09</td><td>1.312553e-09</td><td>LDHA/PHB/SSBP1/PSMD8/RPL14/PPIA/NME1/YWHAQ/COX5A/PSMB3/PGK1/CCT5/PSMA4/C1QBP/PSMB2/SNRPD3/CCT3/RANBP1/SLC25A3/RPL22/NDUFAB1/CBX3/TXNL4A/TUFM/PSMA7/LSM7/PSMA1/LSM2/PRDX4/ACP1/SNRPD1/VDAC1/UBE2L3/VDAC3/SNRPD2/NHP2/CCT7/PRDX3/PA2G4                                                                        </td><td>39</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_ANDROGEN_RESPONSE</th><td>HALLMARK_ANDROGEN_RESPONSE        </td><td>HALLMARK_ANDROGEN_RESPONSE        </td><td>16/275</td><td>101/4386</td><td>4.605441e-04</td><td>7.522221e-03</td><td>6.625372e-03</td><td>AZGP1/KRT8/KRT19/MYL12A/SAT1/ACTN1/CCND1/PMEPA1/STEAP4/PDLIM5/SMS/TMEM50A/DBI/H1F0/ADRM1/PA2G4                                                                                                                                                                                                              </td><td>16</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 3 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tHALLMARK\\_OXIDATIVE\\_PHOSPHORYLATION & HALLMARK\\_OXIDATIVE\\_PHOSPHORYLATION & HALLMARK\\_OXIDATIVE\\_PHOSPHORYLATION & 45/275 & 200/4386 & 6.599832e-15 & 3.233918e-13 & 2.848349e-13 & LDHA/ATP1B1/CYB5A/NDUFV2/COX4I1/NDUFA4/COX6C/GPX4/ATP6V0B/MGST3/COX6A1/NDUFC2/COX7A2/COX7C/COX5B/NDUFB7/UQCR10/COX5A/NDUFB2/IDH2/NDUFS6/VDAC2/ATP6V1G1/SLC25A3/COX6B1/ATP6V0E1/NDUFAB1/UQCR11/TIMM13/MDH2/UQCRFS1/COX8A/NDUFS8/UQCRB/TIMM8B/VDAC1/ATP6V1F/NDUFB8/UQCRQ/VDAC3/ECHS1/PRDX3/MRPS15/COX17/NDUFC1 & 45\\\\\n",
       "\tHALLMARK\\_MYC\\_TARGETS\\_V1 & HALLMARK\\_MYC\\_TARGETS\\_V1            & HALLMARK\\_MYC\\_TARGETS\\_V1            & 39/275 & 200/4386 & 6.082563e-11 & 1.490228e-09 & 1.312553e-09 & LDHA/PHB/SSBP1/PSMD8/RPL14/PPIA/NME1/YWHAQ/COX5A/PSMB3/PGK1/CCT5/PSMA4/C1QBP/PSMB2/SNRPD3/CCT3/RANBP1/SLC25A3/RPL22/NDUFAB1/CBX3/TXNL4A/TUFM/PSMA7/LSM7/PSMA1/LSM2/PRDX4/ACP1/SNRPD1/VDAC1/UBE2L3/VDAC3/SNRPD2/NHP2/CCT7/PRDX3/PA2G4                                                                         & 39\\\\\n",
       "\tHALLMARK\\_ANDROGEN\\_RESPONSE & HALLMARK\\_ANDROGEN\\_RESPONSE         & HALLMARK\\_ANDROGEN\\_RESPONSE         & 16/275 & 101/4386 & 4.605441e-04 & 7.522221e-03 & 6.625372e-03 & AZGP1/KRT8/KRT19/MYL12A/SAT1/ACTN1/CCND1/PMEPA1/STEAP4/PDLIM5/SMS/TMEM50A/DBI/H1F0/ADRM1/PA2G4                                                                                                                                                                                                               & 16\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 3 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| HALLMARK_OXIDATIVE_PHOSPHORYLATION | HALLMARK_OXIDATIVE_PHOSPHORYLATION | HALLMARK_OXIDATIVE_PHOSPHORYLATION | 45/275 | 200/4386 | 6.599832e-15 | 3.233918e-13 | 2.848349e-13 | LDHA/ATP1B1/CYB5A/NDUFV2/COX4I1/NDUFA4/COX6C/GPX4/ATP6V0B/MGST3/COX6A1/NDUFC2/COX7A2/COX7C/COX5B/NDUFB7/UQCR10/COX5A/NDUFB2/IDH2/NDUFS6/VDAC2/ATP6V1G1/SLC25A3/COX6B1/ATP6V0E1/NDUFAB1/UQCR11/TIMM13/MDH2/UQCRFS1/COX8A/NDUFS8/UQCRB/TIMM8B/VDAC1/ATP6V1F/NDUFB8/UQCRQ/VDAC3/ECHS1/PRDX3/MRPS15/COX17/NDUFC1 | 45 |\n",
       "| HALLMARK_MYC_TARGETS_V1 | HALLMARK_MYC_TARGETS_V1            | HALLMARK_MYC_TARGETS_V1            | 39/275 | 200/4386 | 6.082563e-11 | 1.490228e-09 | 1.312553e-09 | LDHA/PHB/SSBP1/PSMD8/RPL14/PPIA/NME1/YWHAQ/COX5A/PSMB3/PGK1/CCT5/PSMA4/C1QBP/PSMB2/SNRPD3/CCT3/RANBP1/SLC25A3/RPL22/NDUFAB1/CBX3/TXNL4A/TUFM/PSMA7/LSM7/PSMA1/LSM2/PRDX4/ACP1/SNRPD1/VDAC1/UBE2L3/VDAC3/SNRPD2/NHP2/CCT7/PRDX3/PA2G4                                                                         | 39 |\n",
       "| HALLMARK_ANDROGEN_RESPONSE | HALLMARK_ANDROGEN_RESPONSE         | HALLMARK_ANDROGEN_RESPONSE         | 16/275 | 101/4386 | 4.605441e-04 | 7.522221e-03 | 6.625372e-03 | AZGP1/KRT8/KRT19/MYL12A/SAT1/ACTN1/CCND1/PMEPA1/STEAP4/PDLIM5/SMS/TMEM50A/DBI/H1F0/ADRM1/PA2G4                                                                                                                                                                                                               | 16 |\n",
       "\n"
      ],
      "text/plain": [
       "                                   ID                                \n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION HALLMARK_OXIDATIVE_PHOSPHORYLATION\n",
       "HALLMARK_MYC_TARGETS_V1            HALLMARK_MYC_TARGETS_V1           \n",
       "HALLMARK_ANDROGEN_RESPONSE         HALLMARK_ANDROGEN_RESPONSE        \n",
       "                                   Description                        GeneRatio\n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION HALLMARK_OXIDATIVE_PHOSPHORYLATION 45/275   \n",
       "HALLMARK_MYC_TARGETS_V1            HALLMARK_MYC_TARGETS_V1            39/275   \n",
       "HALLMARK_ANDROGEN_RESPONSE         HALLMARK_ANDROGEN_RESPONSE         16/275   \n",
       "                                   BgRatio  pvalue       p.adjust    \n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION 200/4386 6.599832e-15 3.233918e-13\n",
       "HALLMARK_MYC_TARGETS_V1            200/4386 6.082563e-11 1.490228e-09\n",
       "HALLMARK_ANDROGEN_RESPONSE         101/4386 4.605441e-04 7.522221e-03\n",
       "                                   qvalue      \n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION 2.848349e-13\n",
       "HALLMARK_MYC_TARGETS_V1            1.312553e-09\n",
       "HALLMARK_ANDROGEN_RESPONSE         6.625372e-03\n",
       "                                   geneID                                                                                                                                                                                                                                                                                                      \n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION LDHA/ATP1B1/CYB5A/NDUFV2/COX4I1/NDUFA4/COX6C/GPX4/ATP6V0B/MGST3/COX6A1/NDUFC2/COX7A2/COX7C/COX5B/NDUFB7/UQCR10/COX5A/NDUFB2/IDH2/NDUFS6/VDAC2/ATP6V1G1/SLC25A3/COX6B1/ATP6V0E1/NDUFAB1/UQCR11/TIMM13/MDH2/UQCRFS1/COX8A/NDUFS8/UQCRB/TIMM8B/VDAC1/ATP6V1F/NDUFB8/UQCRQ/VDAC3/ECHS1/PRDX3/MRPS15/COX17/NDUFC1\n",
       "HALLMARK_MYC_TARGETS_V1            LDHA/PHB/SSBP1/PSMD8/RPL14/PPIA/NME1/YWHAQ/COX5A/PSMB3/PGK1/CCT5/PSMA4/C1QBP/PSMB2/SNRPD3/CCT3/RANBP1/SLC25A3/RPL22/NDUFAB1/CBX3/TXNL4A/TUFM/PSMA7/LSM7/PSMA1/LSM2/PRDX4/ACP1/SNRPD1/VDAC1/UBE2L3/VDAC3/SNRPD2/NHP2/CCT7/PRDX3/PA2G4                                                                        \n",
       "HALLMARK_ANDROGEN_RESPONSE         AZGP1/KRT8/KRT19/MYL12A/SAT1/ACTN1/CCND1/PMEPA1/STEAP4/PDLIM5/SMS/TMEM50A/DBI/H1F0/ADRM1/PA2G4                                                                                                                                                                                                              \n",
       "                                   Count\n",
       "HALLMARK_OXIDATIVE_PHOSPHORYLATION 45   \n",
       "HALLMARK_MYC_TARGETS_V1            39   \n",
       "HALLMARK_ANDROGEN_RESPONSE         16   "
      ]
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       "<ol class=list-inline><li>3</li><li>9</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item 3\n",
       "\\item 9\n",
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       "1. 3\n",
       "2. 9\n",
       "\n",
       "\n"
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       "[1] 3 9"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>GATA3.induced.genes_JCO.2006_PMID.16505416</th><td>GATA3.induced.genes_JCO.2006_PMID.16505416       </td><td>GATA3.induced.genes_JCO.2006_PMID.16505416       </td><td>53/515</td><td>277/19982</td><td>7.546456e-31</td><td>2.686538e-28</td><td>1.898530e-28</td><td>S100A6/CD9/KRT7/KRT8/KRT18/KRT19/CD24/S100A14/TACSTD2/S100A16/DSTN/TM4SF1/SPINT2/VAMP8/S100A9/MGST1/ATP1B1/S100A11/LMNA/ELF3/CLDN4/FXYD3/CALM1/CLDN7/RAC1/EIF6/LYPD3/KCNMA1/KRT15/SQOR/JUP/MAL2/HSPB1/EPCAM/TC2N/TSPAN15/MYOF/S100A4/GATA3/OCIAD2/ADIRF/RER1/FOXA1/MRPL13/RBM47/MLPH/ISG20/DUSP23/MGLL/CSRP1/NDUFB9/SPINT1/MALL</td><td>53</td></tr>\n",
       "\t<tr><th scope=row>Stromal_Down_Nat.Med.2009_PMID.19648928</th><td>Stromal_Down_Nat.Med.2009_PMID.19648928          </td><td>Stromal_Down_Nat.Med.2009_PMID.19648928          </td><td>46/515</td><td>347/19982</td><td>5.404606e-20</td><td>9.620199e-18</td><td>6.798426e-18</td><td>CD9/KRT7/KRT8/ACTG1/S100A14/TACSTD2/PERP/SPINT2/VAMP8/TSPO/MYH9/PPP1R14B/DSC2/EZR/TPM1/CLDN7/ACTN1/LAMB3/SDC4/ANXA3/VWA1/ITGA2/ACTN4/PDLIM5/JUP/MAL2/EPCAM/DSP/GATA3/OCIAD2/FAM173A/PLPP2/STC2/MPHOSPH6/SERINC2/TUBA4A/CD151/DUSP23/WWC1/CDH1/DSG2/CA2/SPINT1/SFN/TFAP2A/CDCP1                                                 </td><td>46</td></tr>\n",
       "\t<tr><th scope=row>MITO1_BMC.Med.Genomics.2011_PMID.21214954</th><td>MITO1_BMC.Med.Genomics.2011_PMID.21214954        </td><td>MITO1_BMC.Med.Genomics.2011_PMID.21214954        </td><td>16/515</td><td>38/19982 </td><td>3.970747e-16</td><td>4.711954e-14</td><td>3.329855e-14</td><td>COX6A1/COX7A2/COX7C/COX5B/TMA7/NDUFB2/DYNLL1/UQCR11/LSM5/COX8A/TIMM8B/TRMT112/SEM1/UQCRQ/COX17/NDUFC1                                                                                                                                                                                                                          </td><td>16</td></tr>\n",
       "\t<tr><th scope=row>UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954</td><td>UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954</td><td>37/515</td><td>356/19982</td><td>6.146245e-13</td><td>5.470158e-11</td><td>3.865665e-11</td><td>KRT7/KRT18/KRT19/WFDC2/TACSTD2/PERP/S100A16/SPINT2/MGST1/ATP1B1/ELF3/CLDN4/EZR/CLDN7/TALDO1/LYPD3/ITGB6/MAL2/EPCAM/DSP/EPPK1/LCN2/GATA3/CRYBG1/BAMBI/DBI/SERINC2/RBM47/LTF/MLPH/GABRP/WWC1/CDH1/SPINT1/SFN/NME3/MALL                                                                                                           </td><td>37</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954 </td><td>UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954 </td><td>35/515</td><td>335/19982</td><td>2.271604e-12</td><td>1.617382e-10</td><td>1.142975e-10</td><td>ACTB/VAMP8/TPM4/ENO1/EZR/PSMD8/RHOC/YWHAH/RHOA/TKT/FKBP1A/ARPC1A/ITGB6/BSG/SYPL1/WDR1/PLEC/HSPA8/PLPP2/SELENOT/VDAC1/TMEM14B/TMOD3/JUND/KDELR1/DRAP1/ARPC4/CDH1/CYBA/MRPS15/MGAT4B/CTSD/TBL1XR1/CAPN1/ARHGDIA                                                                                                                  </td><td>35</td></tr>\n",
       "\t<tr><th scope=row>Claudin_Low_Genome.Biol.2007_PMID.17493263</th><td>Claudin_Low_Genome.Biol.2007_PMID.17493263       </td><td>Claudin_Low_Genome.Biol.2007_PMID.17493263       </td><td>29/515</td><td>244/19982</td><td>7.760136e-12</td><td>4.604347e-10</td><td>3.253811e-10</td><td>AZGP1/CD9/KRT18/KRT19/S100A14/TACSTD2/PERP/SPINT2/ELF3/CLDN4/FXYD3/CLDN7/CTTN/MUC1/MAL2/EPCAM/DSP/MIF/EPPK1/METRN/GOLM1/GATA3/FOXA1/SERINC2/H1F0/WWC1/CDH1/SPINT1/PAFAH1B3                                                                                                                                                     </td><td>29</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tGATA3.induced.genes\\_JCO.2006\\_PMID.16505416 & GATA3.induced.genes\\_JCO.2006\\_PMID.16505416        & GATA3.induced.genes\\_JCO.2006\\_PMID.16505416        & 53/515 & 277/19982 & 7.546456e-31 & 2.686538e-28 & 1.898530e-28 & S100A6/CD9/KRT7/KRT8/KRT18/KRT19/CD24/S100A14/TACSTD2/S100A16/DSTN/TM4SF1/SPINT2/VAMP8/S100A9/MGST1/ATP1B1/S100A11/LMNA/ELF3/CLDN4/FXYD3/CALM1/CLDN7/RAC1/EIF6/LYPD3/KCNMA1/KRT15/SQOR/JUP/MAL2/HSPB1/EPCAM/TC2N/TSPAN15/MYOF/S100A4/GATA3/OCIAD2/ADIRF/RER1/FOXA1/MRPL13/RBM47/MLPH/ISG20/DUSP23/MGLL/CSRP1/NDUFB9/SPINT1/MALL & 53\\\\\n",
       "\tStromal\\_Down\\_Nat.Med.2009\\_PMID.19648928 & Stromal\\_Down\\_Nat.Med.2009\\_PMID.19648928           & Stromal\\_Down\\_Nat.Med.2009\\_PMID.19648928           & 46/515 & 347/19982 & 5.404606e-20 & 9.620199e-18 & 6.798426e-18 & CD9/KRT7/KRT8/ACTG1/S100A14/TACSTD2/PERP/SPINT2/VAMP8/TSPO/MYH9/PPP1R14B/DSC2/EZR/TPM1/CLDN7/ACTN1/LAMB3/SDC4/ANXA3/VWA1/ITGA2/ACTN4/PDLIM5/JUP/MAL2/EPCAM/DSP/GATA3/OCIAD2/FAM173A/PLPP2/STC2/MPHOSPH6/SERINC2/TUBA4A/CD151/DUSP23/WWC1/CDH1/DSG2/CA2/SPINT1/SFN/TFAP2A/CDCP1                                                  & 46\\\\\n",
       "\tMITO1\\_BMC.Med.Genomics.2011\\_PMID.21214954 & MITO1\\_BMC.Med.Genomics.2011\\_PMID.21214954         & MITO1\\_BMC.Med.Genomics.2011\\_PMID.21214954         & 16/515 & 38/19982  & 3.970747e-16 & 4.711954e-14 & 3.329855e-14 & COX6A1/COX7A2/COX7C/COX5B/TMA7/NDUFB2/DYNLL1/UQCR11/LSM5/COX8A/TIMM8B/TRMT112/SEM1/UQCRQ/COX17/NDUFC1                                                                                                                                                                                                                           & 16\\\\\n",
       "\tUNC\\_MM\\_Green9\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_MM\\_Green9\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_MM\\_Green9\\_BMC.Med.Genomics.2011\\_PMID.21214954 & 37/515 & 356/19982 & 6.146245e-13 & 5.470158e-11 & 3.865665e-11 & KRT7/KRT18/KRT19/WFDC2/TACSTD2/PERP/S100A16/SPINT2/MGST1/ATP1B1/ELF3/CLDN4/EZR/CLDN7/TALDO1/LYPD3/ITGB6/MAL2/EPCAM/DSP/EPPK1/LCN2/GATA3/CRYBG1/BAMBI/DBI/SERINC2/RBM47/LTF/MLPH/GABRP/WWC1/CDH1/SPINT1/SFN/NME3/MALL                                                                                                            & 37\\\\\n",
       "\tUNC\\_HS\\_Red17\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Red17\\_BMC.Med.Genomics.2011\\_PMID.21214954  & UNC\\_HS\\_Red17\\_BMC.Med.Genomics.2011\\_PMID.21214954  & 35/515 & 335/19982 & 2.271604e-12 & 1.617382e-10 & 1.142975e-10 & ACTB/VAMP8/TPM4/ENO1/EZR/PSMD8/RHOC/YWHAH/RHOA/TKT/FKBP1A/ARPC1A/ITGB6/BSG/SYPL1/WDR1/PLEC/HSPA8/PLPP2/SELENOT/VDAC1/TMEM14B/TMOD3/JUND/KDELR1/DRAP1/ARPC4/CDH1/CYBA/MRPS15/MGAT4B/CTSD/TBL1XR1/CAPN1/ARHGDIA                                                                                                                   & 35\\\\\n",
       "\tClaudin\\_Low\\_Genome.Biol.2007\\_PMID.17493263 & Claudin\\_Low\\_Genome.Biol.2007\\_PMID.17493263        & Claudin\\_Low\\_Genome.Biol.2007\\_PMID.17493263        & 29/515 & 244/19982 & 7.760136e-12 & 4.604347e-10 & 3.253811e-10 & AZGP1/CD9/KRT18/KRT19/S100A14/TACSTD2/PERP/SPINT2/ELF3/CLDN4/FXYD3/CLDN7/CTTN/MUC1/MAL2/EPCAM/DSP/MIF/EPPK1/METRN/GOLM1/GATA3/FOXA1/SERINC2/H1F0/WWC1/CDH1/SPINT1/PAFAH1B3                                                                                                                                                      & 29\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| GATA3.induced.genes_JCO.2006_PMID.16505416 | GATA3.induced.genes_JCO.2006_PMID.16505416        | GATA3.induced.genes_JCO.2006_PMID.16505416        | 53/515 | 277/19982 | 7.546456e-31 | 2.686538e-28 | 1.898530e-28 | S100A6/CD9/KRT7/KRT8/KRT18/KRT19/CD24/S100A14/TACSTD2/S100A16/DSTN/TM4SF1/SPINT2/VAMP8/S100A9/MGST1/ATP1B1/S100A11/LMNA/ELF3/CLDN4/FXYD3/CALM1/CLDN7/RAC1/EIF6/LYPD3/KCNMA1/KRT15/SQOR/JUP/MAL2/HSPB1/EPCAM/TC2N/TSPAN15/MYOF/S100A4/GATA3/OCIAD2/ADIRF/RER1/FOXA1/MRPL13/RBM47/MLPH/ISG20/DUSP23/MGLL/CSRP1/NDUFB9/SPINT1/MALL | 53 |\n",
       "| Stromal_Down_Nat.Med.2009_PMID.19648928 | Stromal_Down_Nat.Med.2009_PMID.19648928           | Stromal_Down_Nat.Med.2009_PMID.19648928           | 46/515 | 347/19982 | 5.404606e-20 | 9.620199e-18 | 6.798426e-18 | CD9/KRT7/KRT8/ACTG1/S100A14/TACSTD2/PERP/SPINT2/VAMP8/TSPO/MYH9/PPP1R14B/DSC2/EZR/TPM1/CLDN7/ACTN1/LAMB3/SDC4/ANXA3/VWA1/ITGA2/ACTN4/PDLIM5/JUP/MAL2/EPCAM/DSP/GATA3/OCIAD2/FAM173A/PLPP2/STC2/MPHOSPH6/SERINC2/TUBA4A/CD151/DUSP23/WWC1/CDH1/DSG2/CA2/SPINT1/SFN/TFAP2A/CDCP1                                                  | 46 |\n",
       "| MITO1_BMC.Med.Genomics.2011_PMID.21214954 | MITO1_BMC.Med.Genomics.2011_PMID.21214954         | MITO1_BMC.Med.Genomics.2011_PMID.21214954         | 16/515 | 38/19982  | 3.970747e-16 | 4.711954e-14 | 3.329855e-14 | COX6A1/COX7A2/COX7C/COX5B/TMA7/NDUFB2/DYNLL1/UQCR11/LSM5/COX8A/TIMM8B/TRMT112/SEM1/UQCRQ/COX17/NDUFC1                                                                                                                                                                                                                           | 16 |\n",
       "| UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 | UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 | UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 | 37/515 | 356/19982 | 6.146245e-13 | 5.470158e-11 | 3.865665e-11 | KRT7/KRT18/KRT19/WFDC2/TACSTD2/PERP/S100A16/SPINT2/MGST1/ATP1B1/ELF3/CLDN4/EZR/CLDN7/TALDO1/LYPD3/ITGB6/MAL2/EPCAM/DSP/EPPK1/LCN2/GATA3/CRYBG1/BAMBI/DBI/SERINC2/RBM47/LTF/MLPH/GABRP/WWC1/CDH1/SPINT1/SFN/NME3/MALL                                                                                                            | 37 |\n",
       "| UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  | UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  | 35/515 | 335/19982 | 2.271604e-12 | 1.617382e-10 | 1.142975e-10 | ACTB/VAMP8/TPM4/ENO1/EZR/PSMD8/RHOC/YWHAH/RHOA/TKT/FKBP1A/ARPC1A/ITGB6/BSG/SYPL1/WDR1/PLEC/HSPA8/PLPP2/SELENOT/VDAC1/TMEM14B/TMOD3/JUND/KDELR1/DRAP1/ARPC4/CDH1/CYBA/MRPS15/MGAT4B/CTSD/TBL1XR1/CAPN1/ARHGDIA                                                                                                                   | 35 |\n",
       "| Claudin_Low_Genome.Biol.2007_PMID.17493263 | Claudin_Low_Genome.Biol.2007_PMID.17493263        | Claudin_Low_Genome.Biol.2007_PMID.17493263        | 29/515 | 244/19982 | 7.760136e-12 | 4.604347e-10 | 3.253811e-10 | AZGP1/CD9/KRT18/KRT19/S100A14/TACSTD2/PERP/SPINT2/ELF3/CLDN4/FXYD3/CLDN7/CTTN/MUC1/MAL2/EPCAM/DSP/MIF/EPPK1/METRN/GOLM1/GATA3/FOXA1/SERINC2/H1F0/WWC1/CDH1/SPINT1/PAFAH1B3                                                                                                                                                      | 29 |\n",
       "\n"
      ],
      "text/plain": [
       "                                                  ID                                               \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        GATA3.induced.genes_JCO.2006_PMID.16505416       \n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           Stromal_Down_Nat.Med.2009_PMID.19648928          \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954         MITO1_BMC.Med.Genomics.2011_PMID.21214954        \n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954 \n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        Claudin_Low_Genome.Biol.2007_PMID.17493263       \n",
       "                                                  Description                                      \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        GATA3.induced.genes_JCO.2006_PMID.16505416       \n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           Stromal_Down_Nat.Med.2009_PMID.19648928          \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954         MITO1_BMC.Med.Genomics.2011_PMID.21214954        \n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954 \n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        Claudin_Low_Genome.Biol.2007_PMID.17493263       \n",
       "                                                  GeneRatio BgRatio  \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        53/515    277/19982\n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           46/515    347/19982\n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954         16/515    38/19982 \n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 37/515    356/19982\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  35/515    335/19982\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        29/515    244/19982\n",
       "                                                  pvalue       p.adjust    \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        7.546456e-31 2.686538e-28\n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           5.404606e-20 9.620199e-18\n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954         3.970747e-16 4.711954e-14\n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 6.146245e-13 5.470158e-11\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  2.271604e-12 1.617382e-10\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        7.760136e-12 4.604347e-10\n",
       "                                                  qvalue      \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        1.898530e-28\n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           6.798426e-18\n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954         3.329855e-14\n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 3.865665e-11\n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  1.142975e-10\n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        3.253811e-10\n",
       "                                                  geneID                                                                                                                                                                                                                                                                                                                         \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        S100A6/CD9/KRT7/KRT8/KRT18/KRT19/CD24/S100A14/TACSTD2/S100A16/DSTN/TM4SF1/SPINT2/VAMP8/S100A9/MGST1/ATP1B1/S100A11/LMNA/ELF3/CLDN4/FXYD3/CALM1/CLDN7/RAC1/EIF6/LYPD3/KCNMA1/KRT15/SQOR/JUP/MAL2/HSPB1/EPCAM/TC2N/TSPAN15/MYOF/S100A4/GATA3/OCIAD2/ADIRF/RER1/FOXA1/MRPL13/RBM47/MLPH/ISG20/DUSP23/MGLL/CSRP1/NDUFB9/SPINT1/MALL\n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           CD9/KRT7/KRT8/ACTG1/S100A14/TACSTD2/PERP/SPINT2/VAMP8/TSPO/MYH9/PPP1R14B/DSC2/EZR/TPM1/CLDN7/ACTN1/LAMB3/SDC4/ANXA3/VWA1/ITGA2/ACTN4/PDLIM5/JUP/MAL2/EPCAM/DSP/GATA3/OCIAD2/FAM173A/PLPP2/STC2/MPHOSPH6/SERINC2/TUBA4A/CD151/DUSP23/WWC1/CDH1/DSG2/CA2/SPINT1/SFN/TFAP2A/CDCP1                                                 \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954         COX6A1/COX7A2/COX7C/COX5B/TMA7/NDUFB2/DYNLL1/UQCR11/LSM5/COX8A/TIMM8B/TRMT112/SEM1/UQCRQ/COX17/NDUFC1                                                                                                                                                                                                                          \n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 KRT7/KRT18/KRT19/WFDC2/TACSTD2/PERP/S100A16/SPINT2/MGST1/ATP1B1/ELF3/CLDN4/EZR/CLDN7/TALDO1/LYPD3/ITGB6/MAL2/EPCAM/DSP/EPPK1/LCN2/GATA3/CRYBG1/BAMBI/DBI/SERINC2/RBM47/LTF/MLPH/GABRP/WWC1/CDH1/SPINT1/SFN/NME3/MALL                                                                                                           \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  ACTB/VAMP8/TPM4/ENO1/EZR/PSMD8/RHOC/YWHAH/RHOA/TKT/FKBP1A/ARPC1A/ITGB6/BSG/SYPL1/WDR1/PLEC/HSPA8/PLPP2/SELENOT/VDAC1/TMEM14B/TMOD3/JUND/KDELR1/DRAP1/ARPC4/CDH1/CYBA/MRPS15/MGAT4B/CTSD/TBL1XR1/CAPN1/ARHGDIA                                                                                                                  \n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        AZGP1/CD9/KRT18/KRT19/S100A14/TACSTD2/PERP/SPINT2/ELF3/CLDN4/FXYD3/CLDN7/CTTN/MUC1/MAL2/EPCAM/DSP/MIF/EPPK1/METRN/GOLM1/GATA3/FOXA1/SERINC2/H1F0/WWC1/CDH1/SPINT1/PAFAH1B3                                                                                                                                                     \n",
       "                                                  Count\n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416        53   \n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928           46   \n",
       "MITO1_BMC.Med.Genomics.2011_PMID.21214954         16   \n",
       "UNC_MM_Green9_BMC.Med.Genomics.2011_PMID.21214954 37   \n",
       "UNC_HS_Red17_BMC.Med.Genomics.2011_PMID.21214954  35   \n",
       "Claudin_Low_Genome.Biol.2007_PMID.17493263        29   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>94</li><li>9</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 94\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 94\n",
       "2. 9\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 94  9"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "filename_xlsx: xlsx/normal-breast-pairs_control_vs_tamoxifen_LEp_prog.xlsx\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "filename_figure: heatmap_normal-breast-pairs_control_vs_tamoxifen_LEp_prog_no_down_mcf7.e2.induced.genes_zscore\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<hr style=\"height:2px\">"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "LEp"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "&nbsp;&nbsp;&nbsp;&nbsp;assay=integrated, slot=data<br>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "&nbsp;&nbsp;&nbsp;&nbsp;tamoxifen LEp n_idx1: 1057, samples: Normal_01_Tamoxifen, Normal_02_Tamoxifen<br>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "&nbsp;&nbsp;&nbsp;&nbsp;control LEp n_idx_ref: 1362, samples: Normal_01_Control, Normal_02_Control<br>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "df_up"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>expr_min</th><th scope=col>expr_mean</th><th scope=col>expr_max</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>DDIT3</th><td>7.061882e-35</td><td>0.5907359</td><td>0.669</td><td>0.425</td><td>1.672607e-30</td><td> 0.0000000</td><td>0.8722920</td><td>3.329083</td></tr>\n",
       "\t<tr><th scope=row>DNAJB9</th><td>2.292854e-32</td><td>0.5541897</td><td>0.671</td><td>0.465</td><td>5.430625e-28</td><td> 0.0000000</td><td>0.8130779</td><td>3.903489</td></tr>\n",
       "\t<tr><th scope=row>SELENOK</th><td>1.159287e-29</td><td>0.4980851</td><td>0.932</td><td>0.816</td><td>2.745772e-25</td><td> 0.0000000</td><td>1.8370908</td><td>4.010892</td></tr>\n",
       "\t<tr><th scope=row>MT1G</th><td>1.450247e-29</td><td>0.7427145</td><td>0.270</td><td>0.073</td><td>3.434911e-25</td><td>-0.7889508</td><td>0.2272695</td><td>5.378685</td></tr>\n",
       "\t<tr><th scope=row>ATF3</th><td>3.350047e-29</td><td>0.5636712</td><td>0.737</td><td>0.504</td><td>7.934587e-25</td><td> 0.0000000</td><td>1.3009802</td><td>5.255027</td></tr>\n",
       "\t<tr><th scope=row>NFIL3</th><td>3.825672e-25</td><td>0.5267154</td><td>0.653</td><td>0.452</td><td>9.061103e-21</td><td> 0.0000000</td><td>0.7439943</td><td>3.259615</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 8\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & expr\\_min & expr\\_mean & expr\\_max\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tDDIT3 & 7.061882e-35 & 0.5907359 & 0.669 & 0.425 & 1.672607e-30 &  0.0000000 & 0.8722920 & 3.329083\\\\\n",
       "\tDNAJB9 & 2.292854e-32 & 0.5541897 & 0.671 & 0.465 & 5.430625e-28 &  0.0000000 & 0.8130779 & 3.903489\\\\\n",
       "\tSELENOK & 1.159287e-29 & 0.4980851 & 0.932 & 0.816 & 2.745772e-25 &  0.0000000 & 1.8370908 & 4.010892\\\\\n",
       "\tMT1G & 1.450247e-29 & 0.7427145 & 0.270 & 0.073 & 3.434911e-25 & -0.7889508 & 0.2272695 & 5.378685\\\\\n",
       "\tATF3 & 3.350047e-29 & 0.5636712 & 0.737 & 0.504 & 7.934587e-25 &  0.0000000 & 1.3009802 & 5.255027\\\\\n",
       "\tNFIL3 & 3.825672e-25 & 0.5267154 & 0.653 & 0.452 & 9.061103e-21 &  0.0000000 & 0.7439943 & 3.259615\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 8\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | expr_min &lt;dbl&gt; | expr_mean &lt;dbl&gt; | expr_max &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| DDIT3 | 7.061882e-35 | 0.5907359 | 0.669 | 0.425 | 1.672607e-30 |  0.0000000 | 0.8722920 | 3.329083 |\n",
       "| DNAJB9 | 2.292854e-32 | 0.5541897 | 0.671 | 0.465 | 5.430625e-28 |  0.0000000 | 0.8130779 | 3.903489 |\n",
       "| SELENOK | 1.159287e-29 | 0.4980851 | 0.932 | 0.816 | 2.745772e-25 |  0.0000000 | 1.8370908 | 4.010892 |\n",
       "| MT1G | 1.450247e-29 | 0.7427145 | 0.270 | 0.073 | 3.434911e-25 | -0.7889508 | 0.2272695 | 5.378685 |\n",
       "| ATF3 | 3.350047e-29 | 0.5636712 | 0.737 | 0.504 | 7.934587e-25 |  0.0000000 | 1.3009802 | 5.255027 |\n",
       "| NFIL3 | 3.825672e-25 | 0.5267154 | 0.653 | 0.452 | 9.061103e-21 |  0.0000000 | 0.7439943 | 3.259615 |\n",
       "\n"
      ],
      "text/plain": [
       "        p_val        avg_log2FC pct.1 pct.2 p_val_adj    expr_min   expr_mean\n",
       "DDIT3   7.061882e-35 0.5907359  0.669 0.425 1.672607e-30  0.0000000 0.8722920\n",
       "DNAJB9  2.292854e-32 0.5541897  0.671 0.465 5.430625e-28  0.0000000 0.8130779\n",
       "SELENOK 1.159287e-29 0.4980851  0.932 0.816 2.745772e-25  0.0000000 1.8370908\n",
       "MT1G    1.450247e-29 0.7427145  0.270 0.073 3.434911e-25 -0.7889508 0.2272695\n",
       "ATF3    3.350047e-29 0.5636712  0.737 0.504 7.934587e-25  0.0000000 1.3009802\n",
       "NFIL3   3.825672e-25 0.5267154  0.653 0.452 9.061103e-21  0.0000000 0.7439943\n",
       "        expr_max\n",
       "DDIT3   3.329083\n",
       "DNAJB9  3.903489\n",
       "SELENOK 4.010892\n",
       "MT1G    5.378685\n",
       "ATF3    5.255027\n",
       "NFIL3   3.259615"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>91</li><li>8</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 91\n",
       "\\item 8\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 91\n",
       "2. 8\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 91  8"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "df_dn"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>p_val</th><th scope=col>avg_log2FC</th><th scope=col>pct.1</th><th scope=col>pct.2</th><th scope=col>p_val_adj</th><th scope=col>expr_min</th><th scope=col>expr_mean</th><th scope=col>expr_max</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>KRT19</th><td>1.180235e-40</td><td>-0.3867610</td><td>0.803</td><td>0.949</td><td>2.795387e-36</td><td>-0.8857302</td><td>1.8290757</td><td>5.404732</td></tr>\n",
       "\t<tr><th scope=row>ACTB</th><td>1.536593e-40</td><td>-0.4085812</td><td>0.977</td><td>0.988</td><td>3.639420e-36</td><td> 0.0000000</td><td>2.8159609</td><td>5.806842</td></tr>\n",
       "\t<tr><th scope=row>TACSTD2</th><td>3.177478e-35</td><td>-0.4555147</td><td>0.816</td><td>0.913</td><td>7.525856e-31</td><td>-0.1339508</td><td>1.7741924</td><td>4.885132</td></tr>\n",
       "\t<tr><th scope=row>TGM2</th><td>1.810059e-34</td><td>-0.5656624</td><td>0.387</td><td>0.628</td><td>4.287125e-30</td><td> 0.0000000</td><td>0.5104940</td><td>3.329244</td></tr>\n",
       "\t<tr><th scope=row>WFDC2</th><td>2.003432e-34</td><td>-0.3797320</td><td>0.780</td><td>0.913</td><td>4.745128e-30</td><td>-0.6975311</td><td>1.3679869</td><td>4.300373</td></tr>\n",
       "\t<tr><th scope=row>S100A9</th><td>3.596539e-33</td><td>-0.4938688</td><td>0.206</td><td>0.457</td><td>8.518402e-29</td><td>-0.4875647</td><td>0.1985339</td><td>5.010577</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 8\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & p\\_val & avg\\_log2FC & pct.1 & pct.2 & p\\_val\\_adj & expr\\_min & expr\\_mean & expr\\_max\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\tKRT19 & 1.180235e-40 & -0.3867610 & 0.803 & 0.949 & 2.795387e-36 & -0.8857302 & 1.8290757 & 5.404732\\\\\n",
       "\tACTB & 1.536593e-40 & -0.4085812 & 0.977 & 0.988 & 3.639420e-36 &  0.0000000 & 2.8159609 & 5.806842\\\\\n",
       "\tTACSTD2 & 3.177478e-35 & -0.4555147 & 0.816 & 0.913 & 7.525856e-31 & -0.1339508 & 1.7741924 & 4.885132\\\\\n",
       "\tTGM2 & 1.810059e-34 & -0.5656624 & 0.387 & 0.628 & 4.287125e-30 &  0.0000000 & 0.5104940 & 3.329244\\\\\n",
       "\tWFDC2 & 2.003432e-34 & -0.3797320 & 0.780 & 0.913 & 4.745128e-30 & -0.6975311 & 1.3679869 & 4.300373\\\\\n",
       "\tS100A9 & 3.596539e-33 & -0.4938688 & 0.206 & 0.457 & 8.518402e-29 & -0.4875647 & 0.1985339 & 5.010577\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 8\n",
       "\n",
       "| <!--/--> | p_val &lt;dbl&gt; | avg_log2FC &lt;dbl&gt; | pct.1 &lt;dbl&gt; | pct.2 &lt;dbl&gt; | p_val_adj &lt;dbl&gt; | expr_min &lt;dbl&gt; | expr_mean &lt;dbl&gt; | expr_max &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| KRT19 | 1.180235e-40 | -0.3867610 | 0.803 | 0.949 | 2.795387e-36 | -0.8857302 | 1.8290757 | 5.404732 |\n",
       "| ACTB | 1.536593e-40 | -0.4085812 | 0.977 | 0.988 | 3.639420e-36 |  0.0000000 | 2.8159609 | 5.806842 |\n",
       "| TACSTD2 | 3.177478e-35 | -0.4555147 | 0.816 | 0.913 | 7.525856e-31 | -0.1339508 | 1.7741924 | 4.885132 |\n",
       "| TGM2 | 1.810059e-34 | -0.5656624 | 0.387 | 0.628 | 4.287125e-30 |  0.0000000 | 0.5104940 | 3.329244 |\n",
       "| WFDC2 | 2.003432e-34 | -0.3797320 | 0.780 | 0.913 | 4.745128e-30 | -0.6975311 | 1.3679869 | 4.300373 |\n",
       "| S100A9 | 3.596539e-33 | -0.4938688 | 0.206 | 0.457 | 8.518402e-29 | -0.4875647 | 0.1985339 | 5.010577 |\n",
       "\n"
      ],
      "text/plain": [
       "        p_val        avg_log2FC pct.1 pct.2 p_val_adj    expr_min   expr_mean\n",
       "KRT19   1.180235e-40 -0.3867610 0.803 0.949 2.795387e-36 -0.8857302 1.8290757\n",
       "ACTB    1.536593e-40 -0.4085812 0.977 0.988 3.639420e-36  0.0000000 2.8159609\n",
       "TACSTD2 3.177478e-35 -0.4555147 0.816 0.913 7.525856e-31 -0.1339508 1.7741924\n",
       "TGM2    1.810059e-34 -0.5656624 0.387 0.628 4.287125e-30  0.0000000 0.5104940\n",
       "WFDC2   2.003432e-34 -0.3797320 0.780 0.913 4.745128e-30 -0.6975311 1.3679869\n",
       "S100A9  3.596539e-33 -0.4938688 0.206 0.457 8.518402e-29 -0.4875647 0.1985339\n",
       "        expr_max\n",
       "KRT19   5.404732\n",
       "ACTB    5.806842\n",
       "TACSTD2 4.885132\n",
       "TGM2    3.329244\n",
       "WFDC2   4.300373\n",
       "S100A9  5.010577"
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       "<ol class=list-inline><li>139</li><li>8</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item 139\n",
       "\\item 8\n",
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       "1. 139\n",
       "2. 8\n",
       "\n",
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       "[1] 139   8"
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       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 4 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>HALLMARK_TNFA_SIGNALING_VIA_NFKB</th><td>HALLMARK_TNFA_SIGNALING_VIA_NFKB  </td><td>HALLMARK_TNFA_SIGNALING_VIA_NFKB  </td><td>17/48</td><td>200/4386</td><td>9.902640e-12</td><td>3.366898e-10</td><td>2.710196e-10</td><td>ATF3/NFIL3/DUSP5/ZBTB10/KDM6B/PNRC1/REL/CCNL1/TNF/NFKBIA/PPP1R15A/GADD45A/AREG/BHLHE40/BTG1/EGR1/FOSB</td><td>17</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_HYPOXIA</th><td>HALLMARK_HYPOXIA                  </td><td>HALLMARK_HYPOXIA                  </td><td>13/48</td><td>200/4386</td><td>1.177233e-07</td><td>2.001295e-06</td><td>1.610950e-06</td><td>DDIT3/ATF3/NFIL3/HSPA5/MT1E/PNRC1/STC1/NEDD4L/ZNF292/PPP1R15A/BHLHE40/BTG1/MT2A                      </td><td>13</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MTORC1_SIGNALING</th><td>HALLMARK_MTORC1_SIGNALING         </td><td>HALLMARK_MTORC1_SIGNALING         </td><td>11/48</td><td>200/4386</td><td>6.892744e-06</td><td>7.811776e-05</td><td>6.288117e-05</td><td>DDIT3/NFIL3/HSP90B1/HSPA5/IFRD1/SERP1/STC1/HMGCS1/PPP1R15A/NFKBIB/BHLHE40                            </td><td>11</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_UNFOLDED_PROTEIN_RESPONSE</th><td>HALLMARK_UNFOLDED_PROTEIN_RESPONSE</td><td>HALLMARK_UNFOLDED_PROTEIN_RESPONSE</td><td>7/48 </td><td>113/4386</td><td>1.922879e-04</td><td>1.634447e-03</td><td>1.315654e-03</td><td>DNAJB9/ATF3/HSP90B1/HSPA5/SERP1/HERPUD1/EIF4A2                                                       </td><td> 7</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 4 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tHALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB & HALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB   & HALLMARK\\_TNFA\\_SIGNALING\\_VIA\\_NFKB   & 17/48 & 200/4386 & 9.902640e-12 & 3.366898e-10 & 2.710196e-10 & ATF3/NFIL3/DUSP5/ZBTB10/KDM6B/PNRC1/REL/CCNL1/TNF/NFKBIA/PPP1R15A/GADD45A/AREG/BHLHE40/BTG1/EGR1/FOSB & 17\\\\\n",
       "\tHALLMARK\\_HYPOXIA & HALLMARK\\_HYPOXIA                   & HALLMARK\\_HYPOXIA                   & 13/48 & 200/4386 & 1.177233e-07 & 2.001295e-06 & 1.610950e-06 & DDIT3/ATF3/NFIL3/HSPA5/MT1E/PNRC1/STC1/NEDD4L/ZNF292/PPP1R15A/BHLHE40/BTG1/MT2A                       & 13\\\\\n",
       "\tHALLMARK\\_MTORC1\\_SIGNALING & HALLMARK\\_MTORC1\\_SIGNALING          & HALLMARK\\_MTORC1\\_SIGNALING          & 11/48 & 200/4386 & 6.892744e-06 & 7.811776e-05 & 6.288117e-05 & DDIT3/NFIL3/HSP90B1/HSPA5/IFRD1/SERP1/STC1/HMGCS1/PPP1R15A/NFKBIB/BHLHE40                             & 11\\\\\n",
       "\tHALLMARK\\_UNFOLDED\\_PROTEIN\\_RESPONSE & HALLMARK\\_UNFOLDED\\_PROTEIN\\_RESPONSE & HALLMARK\\_UNFOLDED\\_PROTEIN\\_RESPONSE & 7/48  & 113/4386 & 1.922879e-04 & 1.634447e-03 & 1.315654e-03 & DNAJB9/ATF3/HSP90B1/HSPA5/SERP1/HERPUD1/EIF4A2                                                        &  7\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 4 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| HALLMARK_TNFA_SIGNALING_VIA_NFKB | HALLMARK_TNFA_SIGNALING_VIA_NFKB   | HALLMARK_TNFA_SIGNALING_VIA_NFKB   | 17/48 | 200/4386 | 9.902640e-12 | 3.366898e-10 | 2.710196e-10 | ATF3/NFIL3/DUSP5/ZBTB10/KDM6B/PNRC1/REL/CCNL1/TNF/NFKBIA/PPP1R15A/GADD45A/AREG/BHLHE40/BTG1/EGR1/FOSB | 17 |\n",
       "| HALLMARK_HYPOXIA | HALLMARK_HYPOXIA                   | HALLMARK_HYPOXIA                   | 13/48 | 200/4386 | 1.177233e-07 | 2.001295e-06 | 1.610950e-06 | DDIT3/ATF3/NFIL3/HSPA5/MT1E/PNRC1/STC1/NEDD4L/ZNF292/PPP1R15A/BHLHE40/BTG1/MT2A                       | 13 |\n",
       "| HALLMARK_MTORC1_SIGNALING | HALLMARK_MTORC1_SIGNALING          | HALLMARK_MTORC1_SIGNALING          | 11/48 | 200/4386 | 6.892744e-06 | 7.811776e-05 | 6.288117e-05 | DDIT3/NFIL3/HSP90B1/HSPA5/IFRD1/SERP1/STC1/HMGCS1/PPP1R15A/NFKBIB/BHLHE40                             | 11 |\n",
       "| HALLMARK_UNFOLDED_PROTEIN_RESPONSE | HALLMARK_UNFOLDED_PROTEIN_RESPONSE | HALLMARK_UNFOLDED_PROTEIN_RESPONSE | 7/48  | 113/4386 | 1.922879e-04 | 1.634447e-03 | 1.315654e-03 | DNAJB9/ATF3/HSP90B1/HSPA5/SERP1/HERPUD1/EIF4A2                                                        |  7 |\n",
       "\n"
      ],
      "text/plain": [
       "                                   ID                                \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   HALLMARK_TNFA_SIGNALING_VIA_NFKB  \n",
       "HALLMARK_HYPOXIA                   HALLMARK_HYPOXIA                  \n",
       "HALLMARK_MTORC1_SIGNALING          HALLMARK_MTORC1_SIGNALING         \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE HALLMARK_UNFOLDED_PROTEIN_RESPONSE\n",
       "                                   Description                        GeneRatio\n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   HALLMARK_TNFA_SIGNALING_VIA_NFKB   17/48    \n",
       "HALLMARK_HYPOXIA                   HALLMARK_HYPOXIA                   13/48    \n",
       "HALLMARK_MTORC1_SIGNALING          HALLMARK_MTORC1_SIGNALING          11/48    \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE HALLMARK_UNFOLDED_PROTEIN_RESPONSE 7/48     \n",
       "                                   BgRatio  pvalue       p.adjust    \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   200/4386 9.902640e-12 3.366898e-10\n",
       "HALLMARK_HYPOXIA                   200/4386 1.177233e-07 2.001295e-06\n",
       "HALLMARK_MTORC1_SIGNALING          200/4386 6.892744e-06 7.811776e-05\n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE 113/4386 1.922879e-04 1.634447e-03\n",
       "                                   qvalue      \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   2.710196e-10\n",
       "HALLMARK_HYPOXIA                   1.610950e-06\n",
       "HALLMARK_MTORC1_SIGNALING          6.288117e-05\n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE 1.315654e-03\n",
       "                                   geneID                                                                                               \n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   ATF3/NFIL3/DUSP5/ZBTB10/KDM6B/PNRC1/REL/CCNL1/TNF/NFKBIA/PPP1R15A/GADD45A/AREG/BHLHE40/BTG1/EGR1/FOSB\n",
       "HALLMARK_HYPOXIA                   DDIT3/ATF3/NFIL3/HSPA5/MT1E/PNRC1/STC1/NEDD4L/ZNF292/PPP1R15A/BHLHE40/BTG1/MT2A                      \n",
       "HALLMARK_MTORC1_SIGNALING          DDIT3/NFIL3/HSP90B1/HSPA5/IFRD1/SERP1/STC1/HMGCS1/PPP1R15A/NFKBIB/BHLHE40                            \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE DNAJB9/ATF3/HSP90B1/HSPA5/SERP1/HERPUD1/EIF4A2                                                       \n",
       "                                   Count\n",
       "HALLMARK_TNFA_SIGNALING_VIA_NFKB   17   \n",
       "HALLMARK_HYPOXIA                   13   \n",
       "HALLMARK_MTORC1_SIGNALING          11   \n",
       "HALLMARK_UNFOLDED_PROTEIN_RESPONSE  7   "
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       "<ol class=list-inline><li>4</li><li>9</li></ol>\n"
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       "\\begin{enumerate*}\n",
       "\\item 4\n",
       "\\item 9\n",
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       "1. 4\n",
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       "[1] 4 9"
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       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795</th><td>Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795</td><td>Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795</td><td>12/88</td><td>141/19982</td><td>1.231443e-12</td><td>2.265854e-10</td><td>1.736982e-10</td><td>ATF3/NFIL3/IFRD1/DUSP5/ARL5B/KDM6B/REL/TNF/NFKBIA/GADD45A/NFKBIB/FOSB</td><td>12</td></tr>\n",
       "\t<tr><th scope=row>TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490</th><td>TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                              </td><td>TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                              </td><td>5/88 </td><td>14/19982 </td><td>2.865048e-09</td><td>2.635844e-07</td><td>2.020613e-07</td><td>ATF3/PPP1R15A/EGR1/FOSB/CSRNP1                                       </td><td> 5</td></tr>\n",
       "\t<tr><th scope=row>GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP</th><td>GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                             </td><td>GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                             </td><td>7/88 </td><td>58/19982 </td><td>6.316361e-09</td><td>3.874035e-07</td><td>2.969798e-07</td><td>ATF3/DUSP5/KDM6B/AREG/BHLHE40/EGR1/FOSB                              </td><td> 7</td></tr>\n",
       "\t<tr><th scope=row>MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559</th><td>MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                   </td><td>MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                   </td><td>8/88 </td><td>129/19982</td><td>1.010911e-07</td><td>4.064300e-06</td><td>3.115654e-06</td><td>DDIT3/ATF3/DUSP5/TNF/PPP1R15A/GADD45A/EGR1/CSRNP1                    </td><td> 8</td></tr>\n",
       "\t<tr><th scope=row>Duke_Module07_glucosedepletion_Mike_PMID.20335537</th><td>Duke_Module07_glucosedepletion_Mike_PMID.20335537                                      </td><td>Duke_Module07_glucosedepletion_Mike_PMID.20335537                                      </td><td>5/88 </td><td>27/19982 </td><td>1.104429e-07</td><td>4.064300e-06</td><td>3.115654e-06</td><td>DNAJB9/IFRD1/HERPUD1/HBP1/MAP1LC3B                                   </td><td> 5</td></tr>\n",
       "\t<tr><th scope=row>UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                      </td><td>UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                      </td><td>6/88 </td><td>55/19982 </td><td>1.496444e-07</td><td>4.589094e-06</td><td>3.517956e-06</td><td>RB1CC1/CCNL1/RBM39/CLK1/RSRC2/PPIG                                   </td><td> 6</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tTcell\\_EXH\\_Memory\\_CD8\\_T\\_cell\\_a\\_vs\\_Naive\\_CD8\\_T\\_cell\\_Metagene\\_3\\_Science.2016\\_PMID.27789795 & Tcell\\_EXH\\_Memory\\_CD8\\_T\\_cell\\_a\\_vs\\_Naive\\_CD8\\_T\\_cell\\_Metagene\\_3\\_Science.2016\\_PMID.27789795 & Tcell\\_EXH\\_Memory\\_CD8\\_T\\_cell\\_a\\_vs\\_Naive\\_CD8\\_T\\_cell\\_Metagene\\_3\\_Science.2016\\_PMID.27789795 & 12/88 & 141/19982 & 1.231443e-12 & 2.265854e-10 & 1.736982e-10 & ATF3/NFIL3/IFRD1/DUSP5/ARL5B/KDM6B/REL/TNF/NFKBIA/GADD45A/NFKBIB/FOSB & 12\\\\\n",
       "\tTCGA.BRCA.1198\\_immune\\_FOS\\_JUN\\_IL6\\_Cell.2015\\_PMID.26451490 & TCGA.BRCA.1198\\_immune\\_FOS\\_JUN\\_IL6\\_Cell.2015\\_PMID.26451490                               & TCGA.BRCA.1198\\_immune\\_FOS\\_JUN\\_IL6\\_Cell.2015\\_PMID.26451490                               & 5/88  & 14/19982  & 2.865048e-09 & 2.635844e-07 & 2.020613e-07 & ATF3/PPP1R15A/EGR1/FOSB/CSRNP1                                        &  5\\\\\n",
       "\tGSEA\\_GP15\\_EGF\\_signailng.r=0.936\\_NAGASHIMA\\_EGF\\_SIGNALING\\_UP & GSEA\\_GP15\\_EGF\\_signailng.r=0.936\\_NAGASHIMA\\_EGF\\_SIGNALING\\_UP                              & GSEA\\_GP15\\_EGF\\_signailng.r=0.936\\_NAGASHIMA\\_EGF\\_SIGNALING\\_UP                              & 7/88  & 58/19982  & 6.316361e-09 & 3.874035e-07 & 2.969798e-07 & ATF3/DUSP5/KDM6B/AREG/BHLHE40/EGR1/FOSB                               &  7\\\\\n",
       "\tMDSC\\_tumor\\_MO\\_Schlecker\\_J.Immunol.2012\\_PMID.23152559 & MDSC\\_tumor\\_MO\\_Schlecker\\_J.Immunol.2012\\_PMID.23152559                                    & MDSC\\_tumor\\_MO\\_Schlecker\\_J.Immunol.2012\\_PMID.23152559                                    & 8/88  & 129/19982 & 1.010911e-07 & 4.064300e-06 & 3.115654e-06 & DDIT3/ATF3/DUSP5/TNF/PPP1R15A/GADD45A/EGR1/CSRNP1                     &  8\\\\\n",
       "\tDuke\\_Module07\\_glucosedepletion\\_Mike\\_PMID.20335537 & Duke\\_Module07\\_glucosedepletion\\_Mike\\_PMID.20335537                                       & Duke\\_Module07\\_glucosedepletion\\_Mike\\_PMID.20335537                                       & 5/88  & 27/19982  & 1.104429e-07 & 4.064300e-06 & 3.115654e-06 & DNAJB9/IFRD1/HERPUD1/HBP1/MAP1LC3B                                    &  5\\\\\n",
       "\tUNC\\_Unknown\\_6\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_Unknown\\_6\\_BMC.Med.Genomics.2011\\_PMID.21214954                                       & UNC\\_Unknown\\_6\\_BMC.Med.Genomics.2011\\_PMID.21214954                                       & 6/88  & 55/19982  & 1.496444e-07 & 4.589094e-06 & 3.517956e-06 & RB1CC1/CCNL1/RBM39/CLK1/RSRC2/PPIG                                    &  6\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 | Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 | Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 | 12/88 | 141/19982 | 1.231443e-12 | 2.265854e-10 | 1.736982e-10 | ATF3/NFIL3/IFRD1/DUSP5/ARL5B/KDM6B/REL/TNF/NFKBIA/GADD45A/NFKBIB/FOSB | 12 |\n",
       "| TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490 | TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               | TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               | 5/88  | 14/19982  | 2.865048e-09 | 2.635844e-07 | 2.020613e-07 | ATF3/PPP1R15A/EGR1/FOSB/CSRNP1                                        |  5 |\n",
       "| GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP | GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              | GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              | 7/88  | 58/19982  | 6.316361e-09 | 3.874035e-07 | 2.969798e-07 | ATF3/DUSP5/KDM6B/AREG/BHLHE40/EGR1/FOSB                               |  7 |\n",
       "| MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559 | MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    | MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    | 8/88  | 129/19982 | 1.010911e-07 | 4.064300e-06 | 3.115654e-06 | DDIT3/ATF3/DUSP5/TNF/PPP1R15A/GADD45A/EGR1/CSRNP1                     |  8 |\n",
       "| Duke_Module07_glucosedepletion_Mike_PMID.20335537 | Duke_Module07_glucosedepletion_Mike_PMID.20335537                                       | Duke_Module07_glucosedepletion_Mike_PMID.20335537                                       | 5/88  | 27/19982  | 1.104429e-07 | 4.064300e-06 | 3.115654e-06 | DNAJB9/IFRD1/HERPUD1/HBP1/MAP1LC3B                                    |  5 |\n",
       "| UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954 | UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                       | UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                       | 6/88  | 55/19982  | 1.496444e-07 | 4.589094e-06 | 3.517956e-06 | RB1CC1/CCNL1/RBM39/CLK1/RSRC2/PPIG                                    |  6 |\n",
       "\n"
      ],
      "text/plain": [
       "                                                                                        ID                                                                                     \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795\n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                              \n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                             \n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                   \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537                                       Duke_Module07_glucosedepletion_Mike_PMID.20335537                                      \n",
       "UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                       UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                      \n",
       "                                                                                        Description                                                                            \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795\n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                              \n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                             \n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                   \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537                                       Duke_Module07_glucosedepletion_Mike_PMID.20335537                                      \n",
       "UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                       UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                      \n",
       "                                                                                        GeneRatio\n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 12/88    \n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               5/88     \n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              7/88     \n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    8/88     \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537                                       5/88     \n",
       "UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                       6/88     \n",
       "                                                                                        BgRatio  \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 141/19982\n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               14/19982 \n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              58/19982 \n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    129/19982\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537                                       27/19982 \n",
       "UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                       55/19982 \n",
       "                                                                                        pvalue      \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 1.231443e-12\n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               2.865048e-09\n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              6.316361e-09\n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    1.010911e-07\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537                                       1.104429e-07\n",
       "UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                       1.496444e-07\n",
       "                                                                                        p.adjust    \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 2.265854e-10\n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               2.635844e-07\n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              3.874035e-07\n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    4.064300e-06\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537                                       4.064300e-06\n",
       "UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                       4.589094e-06\n",
       "                                                                                        qvalue      \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 1.736982e-10\n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               2.020613e-07\n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              2.969798e-07\n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    3.115654e-06\n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537                                       3.115654e-06\n",
       "UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                       3.517956e-06\n",
       "                                                                                        geneID                                                               \n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 ATF3/NFIL3/IFRD1/DUSP5/ARL5B/KDM6B/REL/TNF/NFKBIA/GADD45A/NFKBIB/FOSB\n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                               ATF3/PPP1R15A/EGR1/FOSB/CSRNP1                                       \n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                              ATF3/DUSP5/KDM6B/AREG/BHLHE40/EGR1/FOSB                              \n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                    DDIT3/ATF3/DUSP5/TNF/PPP1R15A/GADD45A/EGR1/CSRNP1                    \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537                                       DNAJB9/IFRD1/HERPUD1/HBP1/MAP1LC3B                                   \n",
       "UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                       RB1CC1/CCNL1/RBM39/CLK1/RSRC2/PPIG                                   \n",
       "                                                                                        Count\n",
       "Tcell_EXH_Memory_CD8_T_cell_a_vs_Naive_CD8_T_cell_Metagene_3_Science.2016_PMID.27789795 12   \n",
       "TCGA.BRCA.1198_immune_FOS_JUN_IL6_Cell.2015_PMID.26451490                                5   \n",
       "GSEA_GP15_EGF_signailng.r=0.936_NAGASHIMA_EGF_SIGNALING_UP                               7   \n",
       "MDSC_tumor_MO_Schlecker_J.Immunol.2012_PMID.23152559                                     8   \n",
       "Duke_Module07_glucosedepletion_Mike_PMID.20335537                                        5   \n",
       "UNC_Unknown_6_BMC.Med.Genomics.2011_PMID.21214954                                        6   "
      ]
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       "</style>\n",
       "<ol class=list-inline><li>29</li><li>9</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 29\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 29\n",
       "2. 9\n",
       "\n",
       "\n"
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       "[1] 29  9"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 5 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>HALLMARK_ESTROGEN_RESPONSE_EARLY</th><td>HALLMARK_ESTROGEN_RESPONSE_EARLY          </td><td>HALLMARK_ESTROGEN_RESPONSE_EARLY          </td><td>15/86</td><td>200/4386</td><td>5.615477e-06</td><td>0.0002470810</td><td>0.0002009750</td><td>KRT19/TGM2/KRT8/CCND1/FKBP4/PRSS23/PODXL/IGFBP4/KRT15/FHL2/MYOF/SLC9A3R1/FAM102A/MREG/WWC1</td><td>15</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_ESTROGEN_RESPONSE_LATE</th><td>HALLMARK_ESTROGEN_RESPONSE_LATE           </td><td>HALLMARK_ESTROGEN_RESPONSE_LATE           </td><td>14/86</td><td>200/4386</td><td>2.642844e-05</td><td>0.0005814256</td><td>0.0004729299</td><td>KRT19/S100A9/CD9/CCND1/FKBP4/FABP5/PRSS23/PRLR/PERP/IGFBP4/COX6C/MYOF/SLC9A3R1/FAM102A    </td><td>14</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION</th><td>HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION</td><td>HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION</td><td>10/86</td><td>200/4386</td><td>5.305844e-03</td><td>0.0466914257</td><td>0.0379786716</td><td>TGM2/TPM1/TPM4/CYR61/CD59/IGFBP4/PLOD2/PMP22/THBS1/CALD1                                  </td><td>10</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_HYPOXIA</th><td>HALLMARK_HYPOXIA                          </td><td>HALLMARK_HYPOXIA                          </td><td>10/86</td><td>200/4386</td><td>5.305844e-03</td><td>0.0466914257</td><td>0.0379786716</td><td>TGM2/ANXA2/GAPDH/CYR61/LDHA/S100A4/MYH9/TPI1/F3/PGK1                                      </td><td>10</td></tr>\n",
       "\t<tr><th scope=row>HALLMARK_MTORC1_SIGNALING</th><td>HALLMARK_MTORC1_SIGNALING                 </td><td>HALLMARK_MTORC1_SIGNALING                 </td><td>10/86</td><td>200/4386</td><td>5.305844e-03</td><td>0.0466914257</td><td>0.0379786716</td><td>CD9/GAPDH/LDHA/PLOD2/TPI1/SLC9A3R1/PDAP1/PGK1/PPA1/CACYBP                                 </td><td>10</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 5 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tHALLMARK\\_ESTROGEN\\_RESPONSE\\_EARLY & HALLMARK\\_ESTROGEN\\_RESPONSE\\_EARLY           & HALLMARK\\_ESTROGEN\\_RESPONSE\\_EARLY           & 15/86 & 200/4386 & 5.615477e-06 & 0.0002470810 & 0.0002009750 & KRT19/TGM2/KRT8/CCND1/FKBP4/PRSS23/PODXL/IGFBP4/KRT15/FHL2/MYOF/SLC9A3R1/FAM102A/MREG/WWC1 & 15\\\\\n",
       "\tHALLMARK\\_ESTROGEN\\_RESPONSE\\_LATE & HALLMARK\\_ESTROGEN\\_RESPONSE\\_LATE            & HALLMARK\\_ESTROGEN\\_RESPONSE\\_LATE            & 14/86 & 200/4386 & 2.642844e-05 & 0.0005814256 & 0.0004729299 & KRT19/S100A9/CD9/CCND1/FKBP4/FABP5/PRSS23/PRLR/PERP/IGFBP4/COX6C/MYOF/SLC9A3R1/FAM102A     & 14\\\\\n",
       "\tHALLMARK\\_EPITHELIAL\\_MESENCHYMAL\\_TRANSITION & HALLMARK\\_EPITHELIAL\\_MESENCHYMAL\\_TRANSITION & HALLMARK\\_EPITHELIAL\\_MESENCHYMAL\\_TRANSITION & 10/86 & 200/4386 & 5.305844e-03 & 0.0466914257 & 0.0379786716 & TGM2/TPM1/TPM4/CYR61/CD59/IGFBP4/PLOD2/PMP22/THBS1/CALD1                                   & 10\\\\\n",
       "\tHALLMARK\\_HYPOXIA & HALLMARK\\_HYPOXIA                           & HALLMARK\\_HYPOXIA                           & 10/86 & 200/4386 & 5.305844e-03 & 0.0466914257 & 0.0379786716 & TGM2/ANXA2/GAPDH/CYR61/LDHA/S100A4/MYH9/TPI1/F3/PGK1                                       & 10\\\\\n",
       "\tHALLMARK\\_MTORC1\\_SIGNALING & HALLMARK\\_MTORC1\\_SIGNALING                  & HALLMARK\\_MTORC1\\_SIGNALING                  & 10/86 & 200/4386 & 5.305844e-03 & 0.0466914257 & 0.0379786716 & CD9/GAPDH/LDHA/PLOD2/TPI1/SLC9A3R1/PDAP1/PGK1/PPA1/CACYBP                                  & 10\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 5 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| HALLMARK_ESTROGEN_RESPONSE_EARLY | HALLMARK_ESTROGEN_RESPONSE_EARLY           | HALLMARK_ESTROGEN_RESPONSE_EARLY           | 15/86 | 200/4386 | 5.615477e-06 | 0.0002470810 | 0.0002009750 | KRT19/TGM2/KRT8/CCND1/FKBP4/PRSS23/PODXL/IGFBP4/KRT15/FHL2/MYOF/SLC9A3R1/FAM102A/MREG/WWC1 | 15 |\n",
       "| HALLMARK_ESTROGEN_RESPONSE_LATE | HALLMARK_ESTROGEN_RESPONSE_LATE            | HALLMARK_ESTROGEN_RESPONSE_LATE            | 14/86 | 200/4386 | 2.642844e-05 | 0.0005814256 | 0.0004729299 | KRT19/S100A9/CD9/CCND1/FKBP4/FABP5/PRSS23/PRLR/PERP/IGFBP4/COX6C/MYOF/SLC9A3R1/FAM102A     | 14 |\n",
       "| HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION | HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION | HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION | 10/86 | 200/4386 | 5.305844e-03 | 0.0466914257 | 0.0379786716 | TGM2/TPM1/TPM4/CYR61/CD59/IGFBP4/PLOD2/PMP22/THBS1/CALD1                                   | 10 |\n",
       "| HALLMARK_HYPOXIA | HALLMARK_HYPOXIA                           | HALLMARK_HYPOXIA                           | 10/86 | 200/4386 | 5.305844e-03 | 0.0466914257 | 0.0379786716 | TGM2/ANXA2/GAPDH/CYR61/LDHA/S100A4/MYH9/TPI1/F3/PGK1                                       | 10 |\n",
       "| HALLMARK_MTORC1_SIGNALING | HALLMARK_MTORC1_SIGNALING                  | HALLMARK_MTORC1_SIGNALING                  | 10/86 | 200/4386 | 5.305844e-03 | 0.0466914257 | 0.0379786716 | CD9/GAPDH/LDHA/PLOD2/TPI1/SLC9A3R1/PDAP1/PGK1/PPA1/CACYBP                                  | 10 |\n",
       "\n"
      ],
      "text/plain": [
       "                                           ID                                        \n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY           HALLMARK_ESTROGEN_RESPONSE_EARLY          \n",
       "HALLMARK_ESTROGEN_RESPONSE_LATE            HALLMARK_ESTROGEN_RESPONSE_LATE           \n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION\n",
       "HALLMARK_HYPOXIA                           HALLMARK_HYPOXIA                          \n",
       "HALLMARK_MTORC1_SIGNALING                  HALLMARK_MTORC1_SIGNALING                 \n",
       "                                           Description                               \n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY           HALLMARK_ESTROGEN_RESPONSE_EARLY          \n",
       "HALLMARK_ESTROGEN_RESPONSE_LATE            HALLMARK_ESTROGEN_RESPONSE_LATE           \n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION\n",
       "HALLMARK_HYPOXIA                           HALLMARK_HYPOXIA                          \n",
       "HALLMARK_MTORC1_SIGNALING                  HALLMARK_MTORC1_SIGNALING                 \n",
       "                                           GeneRatio BgRatio  pvalue      \n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY           15/86     200/4386 5.615477e-06\n",
       "HALLMARK_ESTROGEN_RESPONSE_LATE            14/86     200/4386 2.642844e-05\n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION 10/86     200/4386 5.305844e-03\n",
       "HALLMARK_HYPOXIA                           10/86     200/4386 5.305844e-03\n",
       "HALLMARK_MTORC1_SIGNALING                  10/86     200/4386 5.305844e-03\n",
       "                                           p.adjust     qvalue      \n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY           0.0002470810 0.0002009750\n",
       "HALLMARK_ESTROGEN_RESPONSE_LATE            0.0005814256 0.0004729299\n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION 0.0466914257 0.0379786716\n",
       "HALLMARK_HYPOXIA                           0.0466914257 0.0379786716\n",
       "HALLMARK_MTORC1_SIGNALING                  0.0466914257 0.0379786716\n",
       "                                           geneID                                                                                    \n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY           KRT19/TGM2/KRT8/CCND1/FKBP4/PRSS23/PODXL/IGFBP4/KRT15/FHL2/MYOF/SLC9A3R1/FAM102A/MREG/WWC1\n",
       "HALLMARK_ESTROGEN_RESPONSE_LATE            KRT19/S100A9/CD9/CCND1/FKBP4/FABP5/PRSS23/PRLR/PERP/IGFBP4/COX6C/MYOF/SLC9A3R1/FAM102A    \n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION TGM2/TPM1/TPM4/CYR61/CD59/IGFBP4/PLOD2/PMP22/THBS1/CALD1                                  \n",
       "HALLMARK_HYPOXIA                           TGM2/ANXA2/GAPDH/CYR61/LDHA/S100A4/MYH9/TPI1/F3/PGK1                                      \n",
       "HALLMARK_MTORC1_SIGNALING                  CD9/GAPDH/LDHA/PLOD2/TPI1/SLC9A3R1/PDAP1/PGK1/PPA1/CACYBP                                 \n",
       "                                           Count\n",
       "HALLMARK_ESTROGEN_RESPONSE_EARLY           15   \n",
       "HALLMARK_ESTROGEN_RESPONSE_LATE            14   \n",
       "HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION 10   \n",
       "HALLMARK_HYPOXIA                           10   \n",
       "HALLMARK_MTORC1_SIGNALING                  10   "
      ]
     },
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     "output_type": "display_data"
    },
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       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>5</li><li>9</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 5\n",
       "\\item 9\n",
       "\\end{enumerate*}\n"
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       "1. 5\n",
       "2. 9\n",
       "\n",
       "\n"
      ],
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       "[1] 5 9"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ID</th><th scope=col>Description</th><th scope=col>GeneRatio</th><th scope=col>BgRatio</th><th scope=col>pvalue</th><th scope=col>p.adjust</th><th scope=col>qvalue</th><th scope=col>geneID</th><th scope=col>Count</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>GATA3.induced.genes_JCO.2006_PMID.16505416</th><td>GATA3.induced.genes_JCO.2006_PMID.16505416                                   </td><td>GATA3.induced.genes_JCO.2006_PMID.16505416                                   </td><td>19/133</td><td>277/19982</td><td>3.119736e-14</td><td>7.830537e-12</td><td>5.057256e-12</td><td>KRT19/TACSTD2/S100A9/CD9/KRT8/KRT7/CD24/S100A16/CALM1/S100A11/S100A4/KRT15/FOXA1/SPINT2/VAMP8/LYPD3/MYOF/SLC9A3R1/ADIRF        </td><td>19</td></tr>\n",
       "\t<tr><th scope=row>Stromal_Down_Nat.Med.2009_PMID.19648928</th><td>Stromal_Down_Nat.Med.2009_PMID.19648928                                      </td><td>Stromal_Down_Nat.Med.2009_PMID.19648928                                      </td><td>20/133</td><td>347/19982</td><td>1.664190e-13</td><td>2.088559e-11</td><td>1.348870e-11</td><td>TACSTD2/CD9/KRT8/KRT7/TPM1/ACTG1/ACTN1/PERP/KRT16/TSPO/MYH9/EZR/SPINT2/VAMP8/ACTN4/ANXA3/SOX9/DSC2/MREG/WWC1                   </td><td>20</td></tr>\n",
       "\t<tr><th scope=row>MCF7.E2.induced.genes_JCO.2006_PMID.16505416</th><td>MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                 </td><td>MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                 </td><td>17/133</td><td>290/19982</td><td>9.570355e-12</td><td>7.519358e-10</td><td>4.856285e-10</td><td>ACTB/KRT8/CCND1/TPM1/TPM4/FKBP4/ACTN1/FABP5/PRSS23/IGFBP4/ZFP36L2/JPT1/KRT15/HIGD1A/FHL2/MREG/ARF6                             </td><td>17</td></tr>\n",
       "\t<tr><th scope=row>MIR_200c_Induced_ONCO.2015_PMID.25746005</th><td>MIR_200c_Induced_ONCO.2015_PMID.25746005                                     </td><td>MIR_200c_Induced_ONCO.2015_PMID.25746005                                     </td><td>21/133</td><td>491/19982</td><td>1.198304e-11</td><td>7.519358e-10</td><td>4.856285e-10</td><td>TGM2/WFDC2/CD9/ANXA2/TPM1/CYR61/PERP/S100A16/ANXA1/IGFBP4/S100A11/NINJ1/THBS1/FOXA1/VAMP8/ANXA3/ITM2B/CAST/SLC9A3R1/CD47/ANXA11</td><td>21</td></tr>\n",
       "\t<tr><th scope=row>UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954</th><td>UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                           </td><td>UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                           </td><td>10/133</td><td>96/19982 </td><td>8.417139e-10</td><td>4.225404e-08</td><td>2.728925e-08</td><td>TACSTD2/KRT7/DUSP4/SLPI/ITGB6/KRT15/GOLM1/ANXA3/SOX9/F3                                                                        </td><td>10</td></tr>\n",
       "\t<tr><th scope=row>GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954</th><td>GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954</td><td>GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954</td><td>16/133</td><td>386/19982</td><td>6.322114e-09</td><td>2.068858e-07</td><td>1.336146e-07</td><td>S100A10/TPM4/PRSS23/CYR61/RIN2/PLOD2/CAVIN1/S100A4/PMP22/MYH9/THBS1/GOLM1/CALD1/FHL2/CTSB/CYB5R3                               </td><td>16</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & ID & Description & GeneRatio & BgRatio & pvalue & p.adjust & qvalue & geneID & Count\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\tGATA3.induced.genes\\_JCO.2006\\_PMID.16505416 & GATA3.induced.genes\\_JCO.2006\\_PMID.16505416                                    & GATA3.induced.genes\\_JCO.2006\\_PMID.16505416                                    & 19/133 & 277/19982 & 3.119736e-14 & 7.830537e-12 & 5.057256e-12 & KRT19/TACSTD2/S100A9/CD9/KRT8/KRT7/CD24/S100A16/CALM1/S100A11/S100A4/KRT15/FOXA1/SPINT2/VAMP8/LYPD3/MYOF/SLC9A3R1/ADIRF         & 19\\\\\n",
       "\tStromal\\_Down\\_Nat.Med.2009\\_PMID.19648928 & Stromal\\_Down\\_Nat.Med.2009\\_PMID.19648928                                       & Stromal\\_Down\\_Nat.Med.2009\\_PMID.19648928                                       & 20/133 & 347/19982 & 1.664190e-13 & 2.088559e-11 & 1.348870e-11 & TACSTD2/CD9/KRT8/KRT7/TPM1/ACTG1/ACTN1/PERP/KRT16/TSPO/MYH9/EZR/SPINT2/VAMP8/ACTN4/ANXA3/SOX9/DSC2/MREG/WWC1                    & 20\\\\\n",
       "\tMCF7.E2.induced.genes\\_JCO.2006\\_PMID.16505416 & MCF7.E2.induced.genes\\_JCO.2006\\_PMID.16505416                                  & MCF7.E2.induced.genes\\_JCO.2006\\_PMID.16505416                                  & 17/133 & 290/19982 & 9.570355e-12 & 7.519358e-10 & 4.856285e-10 & ACTB/KRT8/CCND1/TPM1/TPM4/FKBP4/ACTN1/FABP5/PRSS23/IGFBP4/ZFP36L2/JPT1/KRT15/HIGD1A/FHL2/MREG/ARF6                              & 17\\\\\n",
       "\tMIR\\_200c\\_Induced\\_ONCO.2015\\_PMID.25746005 & MIR\\_200c\\_Induced\\_ONCO.2015\\_PMID.25746005                                      & MIR\\_200c\\_Induced\\_ONCO.2015\\_PMID.25746005                                      & 21/133 & 491/19982 & 1.198304e-11 & 7.519358e-10 & 4.856285e-10 & TGM2/WFDC2/CD9/ANXA2/TPM1/CYR61/PERP/S100A16/ANXA1/IGFBP4/S100A11/NINJ1/THBS1/FOXA1/VAMP8/ANXA3/ITM2B/CAST/SLC9A3R1/CD47/ANXA11 & 21\\\\\n",
       "\tUNC\\_HS\\_Green21\\_BMC.Med.Genomics.2011\\_PMID.21214954 & UNC\\_HS\\_Green21\\_BMC.Med.Genomics.2011\\_PMID.21214954                            & UNC\\_HS\\_Green21\\_BMC.Med.Genomics.2011\\_PMID.21214954                            & 10/133 & 96/19982  & 8.417139e-10 & 4.225404e-08 & 2.728925e-08 & TACSTD2/KRT7/DUSP4/SLPI/ITGB6/KRT15/GOLM1/ANXA3/SOX9/F3                                                                         & 10\\\\\n",
       "\tGSEA\\_GP4\\_MES\\_ECM.r=0.954\\_PerouLab\\_HS\\_Red7\\_BMC\\_Med\\_Genomics\\_2011\\_PMID.21214954 & GSEA\\_GP4\\_MES\\_ECM.r=0.954\\_PerouLab\\_HS\\_Red7\\_BMC\\_Med\\_Genomics\\_2011\\_PMID.21214954 & GSEA\\_GP4\\_MES\\_ECM.r=0.954\\_PerouLab\\_HS\\_Red7\\_BMC\\_Med\\_Genomics\\_2011\\_PMID.21214954 & 16/133 & 386/19982 & 6.322114e-09 & 2.068858e-07 & 1.336146e-07 & S100A10/TPM4/PRSS23/CYR61/RIN2/PLOD2/CAVIN1/S100A4/PMP22/MYH9/THBS1/GOLM1/CALD1/FHL2/CTSB/CYB5R3                                & 16\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | ID &lt;chr&gt; | Description &lt;chr&gt; | GeneRatio &lt;chr&gt; | BgRatio &lt;chr&gt; | pvalue &lt;dbl&gt; | p.adjust &lt;dbl&gt; | qvalue &lt;dbl&gt; | geneID &lt;chr&gt; | Count &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| GATA3.induced.genes_JCO.2006_PMID.16505416 | GATA3.induced.genes_JCO.2006_PMID.16505416                                    | GATA3.induced.genes_JCO.2006_PMID.16505416                                    | 19/133 | 277/19982 | 3.119736e-14 | 7.830537e-12 | 5.057256e-12 | KRT19/TACSTD2/S100A9/CD9/KRT8/KRT7/CD24/S100A16/CALM1/S100A11/S100A4/KRT15/FOXA1/SPINT2/VAMP8/LYPD3/MYOF/SLC9A3R1/ADIRF         | 19 |\n",
       "| Stromal_Down_Nat.Med.2009_PMID.19648928 | Stromal_Down_Nat.Med.2009_PMID.19648928                                       | Stromal_Down_Nat.Med.2009_PMID.19648928                                       | 20/133 | 347/19982 | 1.664190e-13 | 2.088559e-11 | 1.348870e-11 | TACSTD2/CD9/KRT8/KRT7/TPM1/ACTG1/ACTN1/PERP/KRT16/TSPO/MYH9/EZR/SPINT2/VAMP8/ACTN4/ANXA3/SOX9/DSC2/MREG/WWC1                    | 20 |\n",
       "| MCF7.E2.induced.genes_JCO.2006_PMID.16505416 | MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                  | MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                  | 17/133 | 290/19982 | 9.570355e-12 | 7.519358e-10 | 4.856285e-10 | ACTB/KRT8/CCND1/TPM1/TPM4/FKBP4/ACTN1/FABP5/PRSS23/IGFBP4/ZFP36L2/JPT1/KRT15/HIGD1A/FHL2/MREG/ARF6                              | 17 |\n",
       "| MIR_200c_Induced_ONCO.2015_PMID.25746005 | MIR_200c_Induced_ONCO.2015_PMID.25746005                                      | MIR_200c_Induced_ONCO.2015_PMID.25746005                                      | 21/133 | 491/19982 | 1.198304e-11 | 7.519358e-10 | 4.856285e-10 | TGM2/WFDC2/CD9/ANXA2/TPM1/CYR61/PERP/S100A16/ANXA1/IGFBP4/S100A11/NINJ1/THBS1/FOXA1/VAMP8/ANXA3/ITM2B/CAST/SLC9A3R1/CD47/ANXA11 | 21 |\n",
       "| UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954 | UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                            | UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                            | 10/133 | 96/19982  | 8.417139e-10 | 4.225404e-08 | 2.728925e-08 | TACSTD2/KRT7/DUSP4/SLPI/ITGB6/KRT15/GOLM1/ANXA3/SOX9/F3                                                                         | 10 |\n",
       "| GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954 | GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954 | GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954 | 16/133 | 386/19982 | 6.322114e-09 | 2.068858e-07 | 1.336146e-07 | S100A10/TPM4/PRSS23/CYR61/RIN2/PLOD2/CAVIN1/S100A4/PMP22/MYH9/THBS1/GOLM1/CALD1/FHL2/CTSB/CYB5R3                                | 16 |\n",
       "\n"
      ],
      "text/plain": [
       "                                                                              ID                                                                           \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                                    GATA3.induced.genes_JCO.2006_PMID.16505416                                   \n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928                                       Stromal_Down_Nat.Med.2009_PMID.19648928                                      \n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                  MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                 \n",
       "MIR_200c_Induced_ONCO.2015_PMID.25746005                                      MIR_200c_Induced_ONCO.2015_PMID.25746005                                     \n",
       "UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                            UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                           \n",
       "GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954 GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954\n",
       "                                                                              Description                                                                  \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                                    GATA3.induced.genes_JCO.2006_PMID.16505416                                   \n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928                                       Stromal_Down_Nat.Med.2009_PMID.19648928                                      \n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                  MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                 \n",
       "MIR_200c_Induced_ONCO.2015_PMID.25746005                                      MIR_200c_Induced_ONCO.2015_PMID.25746005                                     \n",
       "UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                            UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                           \n",
       "GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954 GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954\n",
       "                                                                              GeneRatio\n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                                    19/133   \n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928                                       20/133   \n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                  17/133   \n",
       "MIR_200c_Induced_ONCO.2015_PMID.25746005                                      21/133   \n",
       "UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                            10/133   \n",
       "GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954 16/133   \n",
       "                                                                              BgRatio  \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                                    277/19982\n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928                                       347/19982\n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                  290/19982\n",
       "MIR_200c_Induced_ONCO.2015_PMID.25746005                                      491/19982\n",
       "UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                            96/19982 \n",
       "GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954 386/19982\n",
       "                                                                              pvalue      \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                                    3.119736e-14\n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928                                       1.664190e-13\n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                  9.570355e-12\n",
       "MIR_200c_Induced_ONCO.2015_PMID.25746005                                      1.198304e-11\n",
       "UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                            8.417139e-10\n",
       "GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954 6.322114e-09\n",
       "                                                                              p.adjust    \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                                    7.830537e-12\n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928                                       2.088559e-11\n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                  7.519358e-10\n",
       "MIR_200c_Induced_ONCO.2015_PMID.25746005                                      7.519358e-10\n",
       "UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                            4.225404e-08\n",
       "GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954 2.068858e-07\n",
       "                                                                              qvalue      \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                                    5.057256e-12\n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928                                       1.348870e-11\n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                  4.856285e-10\n",
       "MIR_200c_Induced_ONCO.2015_PMID.25746005                                      4.856285e-10\n",
       "UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                            2.728925e-08\n",
       "GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954 1.336146e-07\n",
       "                                                                              geneID                                                                                                                         \n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                                    KRT19/TACSTD2/S100A9/CD9/KRT8/KRT7/CD24/S100A16/CALM1/S100A11/S100A4/KRT15/FOXA1/SPINT2/VAMP8/LYPD3/MYOF/SLC9A3R1/ADIRF        \n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928                                       TACSTD2/CD9/KRT8/KRT7/TPM1/ACTG1/ACTN1/PERP/KRT16/TSPO/MYH9/EZR/SPINT2/VAMP8/ACTN4/ANXA3/SOX9/DSC2/MREG/WWC1                   \n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                  ACTB/KRT8/CCND1/TPM1/TPM4/FKBP4/ACTN1/FABP5/PRSS23/IGFBP4/ZFP36L2/JPT1/KRT15/HIGD1A/FHL2/MREG/ARF6                             \n",
       "MIR_200c_Induced_ONCO.2015_PMID.25746005                                      TGM2/WFDC2/CD9/ANXA2/TPM1/CYR61/PERP/S100A16/ANXA1/IGFBP4/S100A11/NINJ1/THBS1/FOXA1/VAMP8/ANXA3/ITM2B/CAST/SLC9A3R1/CD47/ANXA11\n",
       "UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                            TACSTD2/KRT7/DUSP4/SLPI/ITGB6/KRT15/GOLM1/ANXA3/SOX9/F3                                                                        \n",
       "GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954 S100A10/TPM4/PRSS23/CYR61/RIN2/PLOD2/CAVIN1/S100A4/PMP22/MYH9/THBS1/GOLM1/CALD1/FHL2/CTSB/CYB5R3                               \n",
       "                                                                              Count\n",
       "GATA3.induced.genes_JCO.2006_PMID.16505416                                    19   \n",
       "Stromal_Down_Nat.Med.2009_PMID.19648928                                       20   \n",
       "MCF7.E2.induced.genes_JCO.2006_PMID.16505416                                  17   \n",
       "MIR_200c_Induced_ONCO.2015_PMID.25746005                                      21   \n",
       "UNC_HS_Green21_BMC.Med.Genomics.2011_PMID.21214954                            10   \n",
       "GSEA_GP4_MES_ECM.r=0.954_PerouLab_HS_Red7_BMC_Med_Genomics_2011_PMID.21214954 16   "
      ]
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       "<ol class=list-inline><li>72</li><li>9</li></ol>\n"
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       "2. 9\n",
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Pi12uZhScyx/nOMhJmZr4l9Fnn3+HpV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\nlBFCOn7PdLfQ7IVJZxUzjqOOLqlrV8qGjWqMCN9Ro8sPHCA7Ohf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rFBVJrG2U3d2ZapjaTc5Nf+Y6B4qDIplJQ7S+fRne3pLefSq9VL3Z\nbGROND9/rnY0fUwmIUENU9+4vmKJ1pL4BI4F0WLiRLqPus/Whq1nBWdZiDWRMXGu8lw+D3kw\nPBYs5NSkmH6agIsLzsN5jRKOCckkvjb2rODsb79p9Kf09y71Hq8woWf2ogULCSzEyuHnTuMv\nHT6II8WllXhlaGOQCdHk/XsJDVdMb0qbUzRXSQnzUfNpwBuGUIdEdF79uuaNijIaRR+lRlRb\nqrOUa5NEVWliIdZAt3oWYnmKlrHyKDdjtDsSOurp1fdXdTzEO3RVdMrGGsuoej6Vt7QHuedq\njY3DNIffuY350tY8lzxHCL0RvelI6PRE87w6Xd0Gs4kR39jWuE2MxKfLThVI30WarV5vELB4\nEXGDeDEX5xyiHt5Yt3GszphESeKAAVI9gp59d+bQCYIcYa4J2aTufh8WS1yH6uxI3do1h77n\nPx3QAAAgzyCgAQBATkFAAwCAnIKABgAAOQUBDQAAcgoCGgAA5BQENAAAyCkIaAAAkFOtCei7\n85gYho2LEH/RXv9kbU9FDNMYtu8Fv3nlFwhkBVV9K0e3pccSK/54gWvGapOvC7/gFtl8QNGH\na8v6qBEwzG5HQQtzFJXE7fMaad9Jg0EhU5maxj1H+wbFlX75HlkAAPgX+OkVdH1KgLPr9gya\nc9CDmKXd6M0PjQ0X4X+R8CrfJJ32tSw84TPQduTxfClCCPXYUdCsBE/y10cIDQ+tbd4YNfmP\n174I3l3269dtxq06hZbfmYV/ODWmu9OKe2TP44kFNfWVbxIOTUI3ljrZjztZ9LPXCQAAv9rP\nBXRD6gYXl61pNJdDD6/729K/W0ugqRp2dfINvR00UrHy3tK1lxtaOVjW9n72s+O7Hk5PWt61\nxQL8wc5Vd6uYHnvPLXG20lVUUNbvMmLF+a2jqFW31+xN/MF7EAEAQN78REA3pm1yGb7lKW3k\nkfhri6xpf/c0rRGu3RHiJSY+a+V4H0V2+9PSTk23+NYvAn5xcRVC+mZmjGaNiubmughVFhby\nWzkcAAC0s3/60lhO+hZX582pCqODH0YtsKS05lSxWIwQUlRs7Xu2nTec+H6Bgr29ObpTkpNT\nj7oq/9FYn5dXgZC5fTeFVg4HAADt7B+toDnPtro6b0hWGBeacKWV6YxQcXT0M4QMXF2t/8nQ\n32X320EfK/za8sm7YgtqBWJB3Ye4PTMCbmNd/Q/5y340AABoW61fQXOfbx+5eMPjOkQ3trUx\nIP/t83BhXXHe0+hdywIeEWz9QzcOpLZ66B9Sdz78IEZ1yvQ1w01XfWoh6g5bF31mk5Oq7AcD\nAIC21foVdNz+jS8tlm6dbyV5tnmUx+n3km9WXp9Bbr7Ljqra0XbCsZr+AdEZyUEuGj8z628Q\n550c18d1X9nA/feyi+v4/Jp3Dw84sfaN7Ol6IFvYBuMBAEBban1Am86+mZm4d23wrdCxWpW3\nFrj6xtZ8o/KzbXaiFxtsiYgvNZ/iP86ibT4PLj66wOdGSZf1188vdrY2VKbR1DoP9j1zfUP3\nitgVPkc/tMmYAADQZlof0FZDnA1ICBE6ep6/HtCd+Pa425htWU0/PI1kt/a4vxlWcGhuwJO2\n2VAhSH6YLEBGTsMtPrso0yGDDZEoNeGJoE1GBQCAtvIz+6AV+gTGnJ1iyEleN2JaRIn0R+XU\n3oHBXh2kBUFzA1J/HOitJxYIJAiJRF/eNsjn8xGSiETf/iwGAADk0c/dqILpup+6uc1Bsezq\nHNelD+t+VM4YvP2Ip570TdCcDamyX88y+jnaYYj14P6r5r8r8NyHCZUI6zmwP+yzAwD8u/z0\nrd5Um9XXLs4xlr48MGH8/twffRWnNGpv0AR16et9czanyTyiTf0OrOhKzdnu5nns4euyBoGw\noSQ5dO7k3dm0rkv3eZvIejgAAGhbsnianYZr8K2DQ1XrE5a5zo5i/eCWag33Q3tGKkle756z\n6VlrdlZUBw/7Yz+I4vx7CKGsNab/+5k0OepTjdKAnSnPo1b2rDg2y9FEg8HUsZ18qNB+WeSz\nlD2Orb0tBgAA2ltr9kG7hHHwsBaPkM194tg+f6cSIaQ362b9rJYPOQaV4kEtH9LwisO9fjxH\npuXEjWcmbvxxIQAAyDt4HjQAAMgpCGgAAJBTENAAACCnIKABAEBOQUADAICcgoAGAAA5BQEN\nAAByirhp06b2nkO70ddfaaVkycSYOkRtDs7Rbegy1CcrM8yBiIhmVFMOzklhv8ZLDDk4x4xq\nmsB7pEnS4OCciLT0RYult0I7DFIayME55+rOG1INulK6KldYqRPUC6qrJ6i4UTFKtiAXdX92\n545AjWd0jxcbcqG6O8lBgsQUjKKIMUndXnVnTeqm0CNLlN1Poe/28xmlhNJRk0VGWR6CHAti\ngQUH53Ql25crvu5dOaMRb8CR1IJmoVZlpUvUSRYke/5W+e4difDKBShWQgAAIABJREFUmo7R\ntYhavWe+PbobN6Qa4Bjeg9b9SPlRe5KDNcVal6RLsnqDlxiO+C398j5LS5rFzuuPEw73ZmAM\nFYIKERHPssOlBHzeb/xFfmVTJgvmz6eUlpIQQpUVhNRUsYDAS8tgX73KZNfgamoEDU2ijg5K\nTyPq6qKnqdIdO8v8fLUqq3AFBnHoUPzxY8QqFbu6kqursKQk/ESYQtTF2qPHhVmZ9JEjUUMT\nvnkzNmVyg2aT2duKyiY+0c2d8PIlHnNTaN1P0KcPCg0RMhoM7mQVzZyJHO1RbwfyicdPvBdL\nDx+S3qqIW7FCsa6eLKnQzr1iFZ6RkBk4a9iiFw319MOHmJevNN2vynn1GpdIEJOJTZwodR7O\npFJR4QeqgiL1WTa3Z/3oE0mvRUK0ey8nJD1LSYnUqxf2fNM47SXnbt5UYjCwrExq0suS/gMU\nhgxlvi8ULVxI2Hwy37pypM+B7MIPzLVrBJcu0kgk7PTZmpUrsT4+2TraxKnTKywtNTJvGnBw\nTpGk2EV5OB2jLw1JOuw0zZxqrtfYhYNzODinTvvNjHkY58I4W49Xz58RyZWGH6WVJIxkTOrM\nwTmaRE3m/HMVGfrWDGt1gjrR6g3vrQEH5yw9/sHbp6yxQaVfP8KS38ou77PEiAQyRuLgHDaB\nbUDWNxnx9vw5XEVF6UWMwdqzyRv3cTI+sKIPmVlgthyc00OpBwfnZAtKPj7TPxefd7v25mS1\nyVpEzU9TitM4MWo0cdP5ZClRwbhX7YHYpE4KHZcExycfGMYgMRmYgjZNz5jU+UmKkElg2Cva\nfzrrdEqWGq9jhaRCnaS2OvyDMNZZjMRlwmodsnauMNsVTdEj6fVS7sl7YcHBOQoYnYNzNNlW\nd/b3PPE4tQPBRIOowcE5qpVWddpvVLlGzxqzlRuNODjHkmbRZcLr5zcMRvyW/vjAUEOSoSXR\nzmZSnoODUtET/SxRFgUjqxFUsbcWKYJUZaJSDaqhYJRMUWYRvwgT0iuwik6kTkIk4BP45kzz\na5xzIhFBW9SJZvsmMam2v7LjOdE5BpGRWJVYyci/HyfRlBjpD3xHinFPVUjVJmg/5j/uP1LA\neN0rghPhs9K3vdOoZbCCBgAAOQUBDQAAcgoCGgAA5BQENAAAyCkIaAAAkFMQ0AAAIKcgoAEA\nQE5BQAMAgJxqo4AWf0w9s2Hu6N5m+upMKpWpYWBqM8Bt6aEbuXXNX7hydx4Ta4ZIYahqd7Yb\n7Oa95Vwyq4U3YglKYnfPHmipq0QjU5maxr3G+B1Nqvz2y2prbs/pQMAwbFREW7yjFgAA2lgb\nBLTwfeR8e+O+3pG13fxC416y6utZmbFn1g9Dd9aM7WY7dv+zhs/rx4aLcBzHcVzE+Zj/NGrX\nzC61Ub4OJtbuBzKaVwpzdwy2Gr4h1cg/MvP/2rvruCjSNwDgz2zA0izdSCypgt2tCAZioKKo\n2AHqnXfe2V2n3iknIJ4o1tldZ2OLKBinIuyCdEjs0rExvz+oBZZSkPF+z/dzHz87b8/c68M4\nO7xviuDzx3/Wd04K9u7fbfZVvqxRkAmHp04JTmxgAy6EEKKuZg/QgpsLnSYHce1W3gs/v8Gz\nn62eGoulZmTX033N2Re3VjhkXFniMvtMtuyxyClrteno5LX+5IuIY25F534YMuKPD+LyzOhd\n01c+K+y0+sKhef3MNZTUjDp7+p/4xUESd3DF3uhaTQnfb52w4LqwX7+OzX1+CCH0rTRzgBaH\n/+bzVwzpsPzIhu61tmlV7rlh3w+dOfbMxI959TcjZz45+PA8Y8GjlYv2JwIAgOBVVL6xbq9J\nE2yqRkxY9++rD/Dvy5c1dp/Nf7B03JpQ+WG7903T//pzQgih1tHMAfrhwWAeEP3nzLGR2TC9\n05YX0SHHlvRseI9t1sBFc+yh+G7Q33EAAOoTDkbGpT1cYlGtEEEQAEwWq1pn6efnevh+NJh6\n6MgMU+KLzwQhhFpb8wbomKdP0wHMe/bUa4bGbHr10gSIePy4qI4C+SHHLqaA2sjRA6r2JpfE\nBk6ecTzDdsnJAFfNZhgEQgi1muYN0GlpaQCgr988DxZ0dXUAyPT0z7IyJYlHp076K0G538at\n49gViSWv1rn/cFfYfeuZbT2VmmUMCCHUapo3QNNoNACQSOp+9a0pSktLAYDJZNbKKXjrN7rX\n9At8O5+z5xdaVTzHyLm92H1zhNII/1M/2deugxBC35nmDdAGBgYAkJiY2ByNiRISUgHkjIy0\nqycnXvbu3Wvh5dyuK/55uGeoRkV61oX5k/fFmc/5+7CXCT56Rgj9BzRvgDbt1csQIPH+/div\nb0v87O6DQqD1GdhP6m648JWvS5fRAZEGU4+EhmweIP2UOTE8IgPEvL9cNKt+9UVh+jUAuDZF\ngSCIwUGCrx8UQgh9O838FkevWbNtAV4E7noi+5f3ih8v7e44Zs3NlAZbyj6160gKsCd6e1RG\n4eJ3fq5Dfrgj6r3pXujhKTby1Ss4bvpI1lQUPBwAhh8tIknyziz1rzo1hBD6xpo5QBNtf967\n2Ib+KcBr3oWUmk+ixfFn5kzd9TyWr2XRwFsexe/9Ji+6INB18/1ttFp5Wva1OS6L7pb22Hrr\nn5U92fVWRwih/4Jm/01CpX6/3zrr45h+2L1jX5+A668SBUUlBZ9jIq7/Ob9fN48TYpff711c\nZCm7W7I0L/3jw+MbJnTusTCE7b739rEpRuVZJXdXzjuapDh4x8llHRWbe8wIIURFLbAWB93Y\nbU9YTNjBuTbxh34Y7mCkrqprP3Dyqgv8HuuuvX93eUlnterlL01hlj8ypilqc/pO3f6IMWz7\n3eh/T89rV/Wq3JNTp5IACu7MMyVqUfa62vxngRBCrY3RcJEvQdfuMnV9l6nr6y/lHJRPBjWu\nwYF/ZZN/NXkYLK+rpFeTayGEECXgetAIIURRGKARQoiiMEAjhBBFYYBGCCGKwgCNEEIUhQEa\nIYQoCgM0QghRVAu9B/19mOCux39WbQkl57Zm9qyqlCeP8/rTyw87KHTgkwIA6EWONDQ8rkpT\nKzvsq9oXAMo+A4CjgmPZ56fPsn5dpn36SKmdrsCOZTcpMP34PKKyWNIrDR0FQYrFbYOYIXxS\nICjJ9TRuf+78jfZktfEcC071NBYwCCZfKt2YaZKSEjNmrCjgdHmit3fa6lV67wMFKcJkVZqq\nq65r5ZAYzwbyQdCpo6YtKQCAO7c1pZsaoD4AAEJDH3TqpL54sZKDY6olR05Fpdihncb4CQqq\nqkyxWGBtRYTcK12/kSYUEvr6xbduqpibgyWHtmK5obMLWVrKmjlLYmlZ5OGhZMVROu3Tj+16\nPyKi2NdXYeEijYXtBzgsfJCYSO/RAw4cIHx8NMTi9OgDw+EJzLx19vJldq/eWf5+hmdOiwL2\nEh07Xe5pqpWfT7z7JLp+lfizMGtfoOG69ZLlU2y7dUtkMOQPFp2dOpUZ9VFTa/qlHt0Y0bzk\nbj20Nm1QKy4BLy+Jt7cw5H7JqpVqgYGp0730DgSn5OUZPjun8Hde0NGlmh4eGUMGqxYWFEdE\niIuLRAQteMBztZsXi4OOK6akEEnxRSYmymvXJUeE6/qOHZTPunwq81T2Fjk9XeL0GYmdfeaW\nzYZbNuu4j4OI3f0AYCPtQeDvkgFqAgDQpmuXXdJlv2jvSQjwNJ5UeXltMoYuXHxu7l7B8b8Z\nz55lsFUETIIpPVvyuRJhxeesWJEmKQCAjTNMekblXLosyswQeUwCPilQp6kfzNw3WnNC2ewK\n3a23en+q726RFik4dkTTTM6MJCP41WfOnjXJnvsF47wg88LEapPHmDnKLePyz+4jXe+OGCBy\n1nLmk4LwcB0+KZAn5PmkQJGmyCcFZk4x/BCTylr2Wc58ELRlteWTgpCQ8mncVakrnxRYpQ/l\ng+x1yOYdv6t4hZ18oip38mRW+C5BSmpxZZU+fbOOkoIXYTqVgxzlluJpPAlAoEGvmqtGTCMT\nuulhsS9bg5kQJXHRHrlcfvl2+m/Zkmxdhl4BWSABiYvyuAcFl7n2Z6cOZty7aMwnBSZMUwBQ\n1FbQpxnkFAtsmbb3oi6pSDLihfGzWbPbstqmn4FcIorPjJM5firAO2iEEKIoDNAIIURRGKAR\nQoiiMEAjhBBFYYBGCCGKwgCNEEIUhQEaIYQoCgM0QghRFAZohBCiqKYF6JJbc3QIgiAU3Y5l\n186976NXez+qSvSxJ8TViovSnx9dN9utp62xtpoCk8lS0W7j0N/9h12Xo/Ort3tjlnKtxuSU\nNIzb9vP4Jeh5Zs29aQGEny7+1F2DRhCO23hNOj+EEKKQJgVowSm/vzNYOjqqRVf9gxNqZff3\nSyNry3+0yIoODNtflrrRK4uW8I7P6mjefcGZvI4L9916G5+dz094c+ev+Q5ZZ38Z5dDF63Ss\nsGbro44KK9sU56dEPvhrdpt3AbN7Oo47kShVrCTmzMKeHaZcEyiSTTk1hBCinKYE6LiDftcK\n1cb8GeiuLQ4N3PeqMRGQf81n8p/RjK7rT27orlCRmH1t/hDPA/Fddzx+eXKNR19bfXUFeWUd\ncweneb53nh6doPnxsIfL8rDSekatoGXSzmXx4avb+jOTLyxce70inL/Z2rPj9JC2fi8e/dy2\nCWeGEEIU1PgATb7cu/eFRHfyrDGj5k5vA7yggFv1hNAyqSdnTz+UoNJ/x/Fl7ZkViaLnW3yC\n4+g91x3+2UGhZg2aycS9Oz04dqaCD1xxzcxaTF2cbQGyHj58X56QLnTcFRYW7GlTq2GEEPre\nNDpAF9/Yc4AH9nO9BzBpXRZ4d6N/Pu5/VvYiVuXIuL+mzDuXoTki4NhCi6p+yPvBR+KA7jRr\nuonseuyJx6P/vRXkZU+XnS9NLBYDAINRsSif05oDM+wUG3lKCCFEaY0N0Jkn/E5lMQcvnGcH\nAGA6a/EopcJrAYfi66wgivzN48e7OfqeQcGehtIZMaGhGQBW3bqpf/moK8TduBkFYDB4sO3X\nt4UQQhTTyAAdu9//RgnbfdEU/bJj9XGLpxpInuzd91b2g+iSsDUT14QWmc8/EuCmVT0rLS0N\nAPT09L580ECW8JM+3AmYMWrVQ7Cc+dfa/o242UYIoe9MowK0ODQgMFxiMXPR8MqnB8y+ixY4\nEtEHAu7KeBCdG/KTx29vSfulJ34frFIzk06nQ8WziSrFx9xqvkrXe3eadIlLU5iVWTQFHate\n0wM+tVt07MXLoOHajTtXhBD6rjQmQBdd8QtOAIjZ2Z0uFT9tV70m4fMx/zO5NYpnXZnv6R8r\n13njiU1dZXxXZ2hoCABJSUnVUlmeF6vezCs6Orx2PenX7EiJsJCf+C7k2KbJ7dUae6oIIfR9\naUSA/vy335lsw0UPJbVecQ5fzim4EnC4WqhNOTxj+vEU5YE7T/zSjimrOZM+fUwBYh8+TJKV\nixBCqFzDATpqv//dUv1x7r2IWlkd3d0txE/37ntTkSDh7vH0uZyl6ep/1NuyrqZ7zJnrQIPH\nAb7hDb6mhxBC/8caCtDiJ377XoPBWPdeskp2cB9nAZH7/e8JAQBK3271+CUk32DSwQNTDepp\n0/qHfb86MKN3ey68ll77O0aS/2Rn0FMABTZbvvHngRBC/zkNBOj8i35HEsFgrHvP2vfPAACO\n7u6WkH484FwOFIWumLguvNTM++heVy2ZhSspdNt08+qy7hlBoxz7LfS/Fh6fVVBakpce9/bO\n4c1e3a37rn3bZtrep8ensb/wpBBC6L+g/gCddsT/XC7ojR3XW3Z8Bujk7m4GBZcCDif/8+cf\nkSKQfPIfpFbHckk2695VdqvrtPVhzNvTPzikn1k2touFtrKKnm0P10V7nzEGr7n076fwQ/Mc\na73/0aDMwMEVfanMvgkAb5Zzyo8ZE882uTmEEGpVjHpz9RbcK11QfwMdt8SSWwAAYJGEPN6U\nrgk1+zG/7hnza4MFnYPyyaDGtKg17w45rylDQAghCsP1oBFCiKIwQCOEEEVhgEYIIYrCAI0Q\nQhSFARohhCgKAzRCCFEUBmiEEKKo/+sALRIBi2BJ/3frQ6z04R+71MIKw2qUOZZ4HKBaRSFZ\nWqMMi2B5aE07OXPYnv2qZYcZGTTpXBEpYhEs89iRZYf+foaZ4owRwxVYBCtEcK+y2I7thiyC\nVUwWS9dNEiY5u6QnJdIrU7g85fAIMYtgtZFrU5aSLc7OEmexCFaM4S0WwTp8mChL5/OrhpEj\nyWERrI8lkRwOGBkLvLwKnz/XTktVPHPa4F5IqZwc/PhjyvNQ7fneyf37s0LuyWdm0HV18yZ6\nSOzshRHhIg0NyM8nSoUQHEzT08+NjaUpq8DMw/eMjInx7ko5OcSRw+SxxON8PhQXwe7dhfb2\nRFy85NatkjzHu/T+IQt9tLlcRgdHjdWrM6bPoJ84LqejzerVS/7438TihYp+/sXbthj27lNy\n6BDZQ6GHjW2W357S6JfyqSmwfh3z9605O3YqjR+np69fqK1N3D6lsG4tacWR27pZXVuLGDJE\nOyZGdD9E70/f4sT8pMGDNLymZTPotN275eITcufNU3V1ZUO+SnKy+Ox11v794oEDS3SUde7e\nLe3eVUv13/6MgSFisUQkEd+/n/v7rpTJkyRj3PRWrkoWiaDs//vJ1BOXLhVPnEnU+D++yzel\nnb1GjcTFtpNZBGvqNOGgQZq1Jwk9xIVFsPIkuSyC9eZNflliIv3d6VNsUxP66DGs/HwWi2Dx\nxXwPrWmVtRxYDpcXOt+49ZlFsOzsxfHC+Oeh7Both9zTYxGsT3HiMPlr0ukmprQXYRosgkWn\nkyq6wrLEhw+Y0mXeFb8LD6+aciGCe/1WP3iS/6Ts8FOs5FnBMxEpiiyJrH1G0v9lZtJptGp/\nU0gSWASLJV81dRUVS1kEq0vXz5UpEgnRZuqD2q0lS5IzUoV9+B5jdMZEFkfuZOwEIPIl+cqE\nsjnd/E7RBV2arrW1YuFbq8gPRGpuWlRJVBFZ9Ii4IgHSlebKVX5aAAXv3xezCJYny/OZ5Gme\nJNfc64E+TT/zc60tqinj/zpAI4QQlWGARgghisIAjRBCFIUBGiGEKAoDNEIIURQGaIQQoigM\n0AghRFEYoBFCiKKaEqBvzFImCMLtmKhGes6TFV1UCEJr8B+viqRL1kBjKrIN7XqPW7L3YZq4\nvOrLZZZ1bL9SZdxJ6Q6Fny7+1F2DRhCO23gyxijJCA38YXQ3Sx1leTlFDZOOwxfuC8uqvfEh\nQghR31ffQec8W+XksvUly2n33StLOihIZ406KiSriAs/Rz065G0bd2BBP4fh+7gSAIDO23hS\nRchHiw0BYOh+vnTi2YkV276UxJxZ2LPDlGsCxTpCbsrZSZ16LziWMXDLPx8+56S+CHItPDGv\nd6/Fd/hfe5oIIfTNfV2Azg1d4+y8OYzlvOfepcUOCvWWpbHYxm2HeO+/vnu4yuebS1acyW1i\nZ2+29uw4PaSt34tHP7eVWaDkn9XepxKV3fde2Tq+k4magpqF07rrJ2ZoRO2ZvSG05m0/QghR\n3VcE6Lywdc5DNz5nDfcPuejTjtXYajrDXDoBFD58GN7E/tKFjrvCwoI9ber6QRB29epnYDpN\nGC21G7jCkLlTzSHuSHAIRmiE0HfmSwN0/ouNLk7rQxVHBt4/v8BevilVRSIRAKioNHXXbqc1\nB2bYKdZT4PPnDAAdA4PqG+FaW1sBZD99GtXE7hBCqJV9UYDOD9/s4rTmqaLb/vvn5tjKNa1y\nwoUL4QBGLi7tvqTr+mhrawFkpKVJZOTFxcU1d3cIIdSymh6gCyK2Dh+y6rEAWAYO7Y2Yja5H\nlgri397c7Tls2QOaw+L9a/s16ba7Mbq6uelD6T/Hz0p9JUgmHDv+CAAK8vPxXQ6E0Pel6QH6\nzq61722WbJ5tJw5fP2LCoVhxnSUvTWFKv2Unz27jMGZvVp9VF14+3e2s9TWjlo3ltMl3nE7+\nmXkjVlyO4hcXZfHuB3gN3xSvpwnAlJMjmr9HhBBqQU0P0JzpV18//H1F4LX9o3Q+X5vj4n0r\nq46S1V6zE75a40CHIom1x2I3m/qeJH8NHfeT/97fMZI4PaODrrpuO9e1z9qsDtk/ThlAS6sF\nfiIghFBLanqAthvoZMQAoLWZevzSqk706H3jXLe8KW6wGsNxxb7FVgRvz8xVT4q+ZKSNQ9fp\n8/Phx7zMwtLi3JQPD46uH2+WzksCaN++2R95I4RQy/qa96AVu2+4csTDOP/pymGTjyXK+mqu\nGvluGwLnmUh4u2euCm04oH8JUV5q1Is3iSXSaeIH9x6Kie7OTuot0iVCCLWYr/tFFULfPfjq\nll4qKednuCy5J2iouNKArf5TDSRRu2esCS1pqPAX+Pi7k03XXj9dkvoVmNQjv5/IYI9e5Gnc\nAv0hhFBL+upf9ZZvv+ziqRkWkve+Y0bvelfaQGnVEb/vHqMpifxjxvqw5g/Rbb03e5oUnVky\n2fdRfF5xftLzQ7OdF97V9Aja46HZ7J0hhFALa47V7LRcAq/9OYidc/8nl+lnkxt4m03Lfc/O\n4ariyB0z1oU3FM6lZQYOrngfRGX2TQB4s5xTfsyYeLa8kLbrwYfXNg/OC/TooKum0378n2l9\ntz9+eWyMwReeGUIItSJGw0UqOQflk0Eyc5jWC+5kL2hMSQAw8Lqa4yU7q/fuJHK37CyteXfI\neQ2PkWnqvOKQ84qGCyKEENXhetAIIURRGKARQoiiMEAjhBBFYYBGCCGKwgCNEEIUhQEaIYQo\nCgM0QghRFAZohBCiKIIkcSF7hBCiIryDRgghisIAjRBCFIUBGiGEKAoDNEIIURQGaIQQoigM\n0AghRFEYoBFCiKIwQCOEEEVhgEa1vV5mSdSlcn8xCuNtciQIgrBZ9bq1R4LQV8EAjRBCFNWU\nPQnR/xnNubczAwe39ii+gOWq1+Sq1h4EQl8P76BRkyUfddMkCEKhly+vbCGXtOAR6gRBKPXa\nGSUu3229j+/bxzs9u5mxFVgqpt2m+r/MAYDKvdhHBEdf8u6ur6w06WwJAADkvTq0xK27rZG6\nAkvNqIPr0tNRReWdCV4FLx3TzcpIQ5GlqmvRffzK89ElDWXVfsQhSry9Y9aQdobqCnLyKrpW\nPScsP/4+D6SHNDw4M+r4ogFWmoosZaPO0/a/zW/5C4lQQ0iEanr1qwUAgObc23UUyDw/2QAA\nlAftTSDJjNPjNQFAdWBgrIQkI9faAwAY2durSs8zzclX8snK3K7DhmkBAMCoo0UkKXqztZti\njXmpO+F8JkmSaYdGqNfIIfQmnM+oP4u70QEAwHrlq7LhJhwbq0vUnPlKXTe9LiFJ8uO6tgAA\nHUePMZXONln4pPRbXGuE6oF30KhOWfuG1PyKsO26jwAAmqMDjswxI/LvLvPZc2DJ4tNZwHb1\nOzLXjABgMBgAAElc5szrvJy8z2F/DtMCgKzT/iczKnNf3En0uMzLKco7No4FBRc2bHxeCKpD\nd75ILSgpSn8d4KYL6afWBUSC+Mm1mwIAo/k3+SViYUHK4xU92Zpy724+EtSXVUPp7XU/nksn\nQaXHr/9EZxfkJDzY7qQJUBC2cfXJbAA6nQ4AEHH5vdPp91mCxJtLHBgAkHD+fPi3u9QIydba\nPyEQBZXfQctgvzayolDB06U29PJkvQlnPpcnl9+9Kk06X3EDGrbEFABAz+d+Za6827H8yt7u\n+2jJ7Gt4cCEZ8asFAQA0ts2QyYs2+J8OicwSlVerJ6v6HfSTH/UBALQX3BPXOEFd7xDpIRWU\nZab59QYAoE063xLXFqEmwDtoVCcZjzjerbOpyFXs4T2jc9n8sfBaOka7el0jMzNm+UcDA30A\ngIyMjMpcAw5HqfJAIKh10wsAAAkJidBh/eVDs3oYMPgfb//95xrv8QNsDS2cNz3JAagvq7ry\njg1NTCpnu5GREQBAelKSsCLJ2Mam/DGLrq4uAIBELG7g+iDU0jBAoy9Dfgqcvem5hK6oKAcx\nvt6/vRdVy05NTKyIb0lJyQAAOjo6lblycnJVRdlsNgCA9dp/q/8weLvGCkDebur+p4nZia9u\nnfBf7+Nqq1Icf3P1mGV3JfVmVaOlpQUAkBQXVxlx4+MTAADUtLQqfopUPOlAiEowQKMvIY7a\n5fnT7Vwa58cbD1d3kit6vsZjTViJVIHc0xtX300oKPgc5rv+aCIAyHXoYCe7rY69eysCQNTB\ndX9FfM4XJDzaMECbrW8+aMcb8avdwztaattMu5Rn0nf8/FU7g/2mcwDgc1xcQd1ZRTXa7zx0\nqCYAZB5dueJWbG5hTty9jUuDPgGA6rBhvZr/0iDUjL7VsxT0Han7GTQAjD1Blr5Z21EegLBc\n9KCQJEtfrWvHAKCZL7yXW/lIV9fCQkmqEs1wzp0isvb7FSRJkqTw1cbO8jV60R55NIEkS5/+\nxGFCTVpuRxPry6rVS/xhN+1ab3FoOQfGiGUO6cxYAACYcOabXnSEasM7aNRUwtBVkzZFlBBt\n5u7f0lcBgOm4/MBSe7okds+UBVezygtpeOy9vHGcg56iHIttOWDxmcf+g1h1NchwXHX74d75\nTm0NVOQYciqGjm4rLz475WkMwOyx4+GtnbOd2hlrKcvLKWsZ2/WdtPbMg789jerLqsVk6pmX\nN7Z5DbDTU5FjyKno2fabuunqi0tzzXH6I2rDTWNR8+JtcuSsfgPWK1993OTY2oNB6PuGtxAI\nIURRGKARQoiiMEAjhBBF4TNohBCiKLyDRgghisIAjRBCFIUBGiGEKAp3VEHViQGuAxQDEADa\nADcBxCCRl4A9iKPEhA0hihLRbGmiKBHNhlYaXcqwYpRElzCtmcXRxUxrZkl0CdOKWcQtkrOS\nK+IWsTjyBdwCBY5CAbdAgaOYx8tT4ijl8XKVLJVzebnKlso5vBwVSxUBj69mqcbn8dUs1bJ4\n2WxLdhYvk22pkcnL1LDUyORlaFhqZsZ8Nu1hFvssRstCO43ORwFLAAASfElEQVSXqmOpm8ZL\n1bXUTeGl6Fnqp/CS9Sz1k7lJBpYGidwkQ45hIjfBkGOUwE0w5hjFc+ONOSZx3DgTS5M47idT\njmls9Kc2Vm1io2PNOG1iomPMrMx5UTwLazNuFM/cyoIbxbW0No+O4llYW3CjuJZWltyoaEsr\ny6iPURxrq4+RH61srCIjI21sbYpKiuTk5CIjP9jb20VHfbSxteVGf7S2seVGf7S2tuFxozhW\nNjExUZYcm5iYKCtL65jYaEuOdWxsFMfCOvZTtIWl1adP0Rbm1p/ioszNrePjoszMrOMTotu0\nsUpM4JqaWiUmRZuaWCUlRRubWCUnc42NOCkpPCMjy5RUnqGhZVoqz8CAk57O1dfnpKdz9fQ5\nmRk8C8uen2Kf6upaZmZwtXU5WZlcLW0OP5urqcXh87mamhyBgKvB5uTkcNlsTm4uV02dk5fH\nVVPjFORzVVQ5BQVcFRXLwkKesrJlUSFXSYlTXBytqGhVXBKtoMARCqNZLCthaZQ8y1ok/CjP\nshYKo+TlrcTiKCbTWiKJZDBsSPIDnW5Lkh/odBuC+EgQAwAyACq/62IBDAPAlU8aBb8kRNVd\nBRgJAAAjAK4AjATJNYmIIZLQJCK6iCRIIV0oISQimkhCSMSEiASJkCaSEKSIEElAIiJEEkIi\nIkRk2WcgRYRQAhIRiElCIoKqFDGISZAIQSQBUlxWF0QkkCIQSUAiBhEJEiGIJUCWfTYfZDH5\ngOfhGYc/3P1QliIqyyUrapFlbVa0QIpJIEWkqLwvkhSBiASJmCyrJSZBIiLFEpKUlPVListz\nSbKsHTEpJsnykmKxWEKSYomYJCUiiVhMSoQSofMw5wuXL7i6ut6+fZ1OAyaDRtAIBoNGIwg6\nnSAIgk6nETSg0wiCIOgMgkYAnU4QNCjLZdCBRgCNQRA0YNAIGgF0BhA0gk4HggAGvTKl8jNB\n0KCsVllJqc/AYACNAPt2Q6ZNO/T3MS9u9B0GA2i0yhaARgMGAwgCytLLypflMhkkjQZ0OtAI\nksGsaI0GDDpJI4DBJAkaMBgkjUaW1ar4TBI0YDIkNBpJL0+REATJZEpoNJLBENNoJIPhUj6N\n4KrUJLsCMKJ1pvf3Bh9xoOoqlxpSqPizbBULEgCAJKR+nJenSB3IUJZOSJUga+XVTKmdSwI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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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KCrra0swKv798s+W6csKuoNgLKDg3GLKn8L9hBvd32ovhgUlg9pR4LuCpiDPGcZ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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [],
      "text/latex": [],
      "text/markdown": [],
      "text/plain": [
       "<0 x 0 matrix>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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luFtdcHbB5Dyg5w3RLDbHP/qsebjKZufUQ3PXonbFkbPSCEUDfqJKApAwf2B6h8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\nAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cell_types <- c(\"BEp\", \"LEp_prog\", \"LEp\")\n",
    "\n",
    "df_info <- data.frame()\n",
    "\n",
    "for (cell_type in cell_types) {\n",
    "    \n",
    "    display_html(\"<hr style=\\\"height:2px\\\">\")\n",
    "    log_txt(cell_type)\n",
    "    \n",
    "    list_markers <- find_markers(rna, sample1 = sample1,\n",
    "                        sample_ref = sample_ref,\n",
    "                        pattern_sample1 = pattern_sample1,\n",
    "                        pattern_sample_ref = pattern_sample_ref,\n",
    "                        cell_type1 = cell_type,\n",
    "                        cell_type_ref = cell_type,\n",
    "                                 \n",
    "                        group_name1 = sprintf(\"%s %s\", group_name1, cell_type),\n",
    "                        group_name_ref = sprintf(\"%s %s\", group_name_ref, cell_type),\n",
    "                        col_cluster_types = col_cluster_types_,\n",
    "                        col_cell_types = col_cell_types_,\n",
    "                        th_log2fc=th_log2fc_,\n",
    "                        th_padj=th_padj_, \n",
    "                        min.pct=min.pct_,\n",
    "                        min.diff.pct=min.diff.pct_,\n",
    "                        max.cells.per.ident=max.cells.per.ident_,\n",
    "                        method_dge = method_dge,\n",
    "                        n_log = 1)\n",
    "\n",
    "  if (!is.null(list_markers)) {\n",
    "    \n",
    "    head(list_markers$markers)\n",
    "    dim(list_markers$markers)\n",
    "\n",
    "    str_condition_tmp <- sprintf(\"%s_%s_vs_%s_%s\",\n",
    "                               str_condition,\n",
    "                               group_name_ref, group_name1, cell_type)\n",
    "    \n",
    "    list_ea <- execute_enrichment_analysis(list_markers$markers,\n",
    "                        str_condition_tmp,\n",
    "                        th_log2fc = th_log2fc_,\n",
    "                        th_padj = th_padj_)\n",
    "\n",
    "    genes_up <- rownames(list_ea$df_up)\n",
    "    genes_dn <- rownames(list_ea$df_dn)\n",
    "    list_genes_dn[[cell_type]] <- genes_dn\n",
    "\n",
    "    if (f_featureplot) {\n",
    "      gg <- featureplot_enrichment_analysis(rna,\n",
    "                list_ea,\n",
    "                str_condition_tmp)\n",
    "    }\n",
    "\n",
    "    str_condition_tmp_ <- str_condition_tmp\n",
    "    unlink(sprintf(\"%s/%s*\", figure_format, str_condition_tmp))\n",
    "    df_dp <- as.data.frame(list_ea[[\"down peroulab\"]])\n",
    "    if (any(grepl(\"MCF7.E2.induced.genes\", rownames(df_dp)))) {\n",
    "        df_info[cell_type, \"pairs\"] <- \"E2IG down\"\n",
    "    } else {\n",
    "        str_condition_tmp_ <- sprintf(\"%s_no_down_mcf7.e2.induced.genes\", str_condition_tmp)\n",
    "    }\n",
    "    list_out_heatmap <- heatmap_enrichment_analysis(list_markers,\n",
    "                    list_ea,\n",
    "                    str_condition_tmp_,\n",
    "                    pattern_gene_removal=\"^MT-|^RPS|^RPL\",\n",
    "                    max_up=5, max_dn=5,\n",
    "                    n_sampling=n_sampling,\n",
    "                    cluster_rows=cluster_rows)\n",
    "\n",
    "  } # if\n",
    "    \n",
    "} # for\n",
    "\n",
    "\n",
    "display(df_info)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0ceefbd",
   "metadata": {},
   "source": [
    "# session info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "04158981",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "writeLines(capture.output(sessionInfo()), \"txt/sessionInfo.txt\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11a8c620",
   "metadata": {},
   "source": [
    "# reference"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "674ff0fb",
   "metadata": {},
   "source": [
    "https://satijalab.org/seurat/\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "43319b6c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "R 4.1.2",
   "language": "R",
   "name": "r4.1.2"
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  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.1.2"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "196px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}