From bea1310c349fad88359dbd24330a862c74cca884 Mon Sep 17 00:00:00 2001 From: Eric Bach Date: Wed, 7 Sep 2022 14:45:47 +0300 Subject: [PATCH] Add source files (csv) for figures --- .gitignore | 3 +- .../massbank/ssvm_lib=v2__exp_ver=4/README.md | 12 +- .../UNUSED__plot_05__a.pdf | Bin 25776 -> 25776 bytes .../UNUSED__plot_05__a.svg | 242 +- .../UNUSED__plot_05__b.pdf | Bin 50233 -> 50233 bytes .../UNUSED__plot_05__b.svg | 802 +- ...rent_score_integration_approaches_3D.ipynb | 105 +- ...sis_using_molecule_classification_3D.ipynb | 21 +- .../exp_03__stereochemistry.ipynb | 23 +- ...D_features_for_inchikey1_aggregation.ipynb | 25 +- ...arison_of_2D_and_3D_fps_for_ALLDATA__a.csv | 181 + ...rison_of_2D_and_3D_fps_for_ALLDATA__a.pdf} | Bin 25664 -> 25664 bytes ...rison_of_2D_and_3D_fps_for_ALLDATA__a.svg} | 250 +- ...rison_of_2D_and_3D_fps_for_ALLDATA__b.pdf} | Bin 63348 -> 63348 bytes ...rison_of_2D_and_3D_fps_for_ALLDATA__b.svg} | 1734 +-- ...of_2D_and_3D_fps_for_ALLDATA__b__color.csv | 577 + ...of_2D_and_3D_fps_for_ALLDATA__b__label.csv | 577 + ...a_figure__number_of_ssvm_models__cfmid.csv | 11329 ++++++++++++++++ ...a_figure__number_of_ssvm_models__cfmid.pdf | Bin 19099 -> 19099 bytes ...a_figure__number_of_ssvm_models__cfmid.svg | 150 +- ...figure__number_of_ssvm_models__metfrag.csv | 11329 ++++++++++++++++ ...figure__number_of_ssvm_models__metfrag.pdf | Bin 19217 -> 19217 bytes ...figure__number_of_ssvm_models__metfrag.svg | 158 +- ..._figure__number_of_ssvm_models__sirius.csv | 11329 ++++++++++++++++ ..._figure__number_of_ssvm_models__sirius.pdf | Bin 19362 -> 19362 bytes ..._figure__number_of_ssvm_models__sirius.svg | 156 +- ...gure__performance_per_classyfire_class.csv | 85 + ...gure__performance_per_classyfire_class.pdf | Bin 34812 -> 34812 bytes ...gure__performance_per_classyfire_class.svg | 642 +- .../ssvm_lib=v2__exp_ver=4/plot_01__a.csv | 301 + .../ssvm_lib=v2__exp_ver=4/plot_01__a.pdf | Bin 29053 -> 29053 bytes .../ssvm_lib=v2__exp_ver=4/plot_01__a.svg | 278 +- .../ssvm_lib=v2__exp_ver=4/plot_01__b.pdf | Bin 72299 -> 72299 bytes .../ssvm_lib=v2__exp_ver=4/plot_01__b.svg | 2240 +-- .../plot_01__b__color.csv | 841 ++ .../plot_01__b__label.csv | 841 ++ .../ssvm_lib=v2__exp_ver=4/plot_02__a.csv | 49 + .../ssvm_lib=v2__exp_ver=4/plot_02__a.pdf | Bin 30694 -> 30694 bytes .../ssvm_lib=v2__exp_ver=4/plot_02__a.svg | 414 +- .../ssvm_lib=v2__exp_ver=4/plot_02__b.csv | 67 + .../ssvm_lib=v2__exp_ver=4/plot_02__b.pdf | Bin 32466 -> 32505 bytes .../ssvm_lib=v2__exp_ver=4/plot_02__b.svg | 1462 +- .../ssvm_lib=v2__exp_ver=4/plot_03__a.csv | 181 + .../ssvm_lib=v2__exp_ver=4/plot_03__a.pdf | Bin 25428 -> 25428 bytes .../ssvm_lib=v2__exp_ver=4/plot_03__a.svg | 238 +- .../ssvm_lib=v2__exp_ver=4/plot_03__b.pdf | Bin 50904 -> 50904 bytes .../ssvm_lib=v2__exp_ver=4/plot_03__b.svg | 1030 +- .../plot_03__b__color.csv | 307 + .../plot_03__b__label.csv | 307 + 49 files changed, 43334 insertions(+), 4952 deletions(-) create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__a.csv rename results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/{comparison_of_2D_and_3D_fps_for_ALLDATA__a.pdf => extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__a.pdf} (99%) rename results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/{comparison_of_2D_and_3D_fps_for_ALLDATA__a.svg => extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__a.svg} (92%) rename results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/{comparison_of_2D_and_3D_fps_for_ALLDATA__b.pdf => extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__b.pdf} (99%) rename results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/{comparison_of_2D_and_3D_fps_for_ALLDATA__b.svg => extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__b.svg} (89%) create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__b__color.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__b__label.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__number_of_ssvm_models__cfmid.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__number_of_ssvm_models__metfrag.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__number_of_ssvm_models__sirius.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__performance_per_classyfire_class.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/plot_01__a.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/plot_01__b__color.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/plot_01__b__label.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/plot_02__a.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/plot_02__b.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/plot_03__a.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/plot_03__b__color.csv create mode 100644 results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/plot_03__b__label.csv diff --git a/.gitignore b/.gitignore index 50cd336..25361b1 100644 --- a/.gitignore +++ b/.gitignore @@ -3,7 +3,6 @@ **/*.conf **/*.cands* **/*.peaks -**/*.csv* **/*.tar.gz __pycache__ **/ISOTOPE.DAT @@ -47,3 +46,5 @@ data/tools/ data/massbank.sqlite.gz results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/massbank results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/massbank__with_stereo/ +data/PubChemLite_31Oct2020_exposomics.csv +misc_scripts/massbank_groups__meta_data.csv \ No newline at end of file diff --git a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/README.md b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/README.md index 0afdff9..373f7e2 100644 --- a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/README.md +++ b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/README.md @@ -3,12 +3,12 @@ Here you can find the jupyter notebooks used to produce the figures in our manuscript. The relevant notebooks for the latest version of our manuscript are: -| **Notebook name** | **Content** | -|-----------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| ```exp_01__comparison_of_different_score_integration_approaches_3D.ipynb``` | Here we compare the ranking performance of LC-MS²Struct with the different comparison methods. | -| ```exp_02__performance_analysis_using_molecule_classification_3D.ipynb``` | Here we analyze the performance improvements using LC-MS²Struct for different ClassyFire and PubChemLite molecular classes. | -| ```exp_03__stereochemistry.ipynb``` | Here we assess the performance of LC-MS²Struct in the ONLYSTEREO setting. | -| ```exp_04__using_3D_features_for_inchikey1_aggregation.ipynb``` | Here we compare the ranking performance in the ALLDATA setting when using 2D and 3D FCFP fingerprints in combination with LC-MS²Struct. The generated figures can be also found in the supplementary material of the manuscript. | +| **Notebook name** | **Content** | **Figure (in manuscript)** | +|-----------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------| +| ```exp_01__comparison_of_different_score_integration_approaches_3D.ipynb``` | Here we compare the ranking performance of LC-MS²Struct with the different comparison methods. | - Figure 2 (a, b)
- Extended Data Figure 4 | +| ```exp_02__performance_analysis_using_molecule_classification_3D.ipynb``` | Here we analyze the performance improvements using LC-MS²Struct for different ClassyFire and PubChemLite molecular classes. | - Figure 3 (a, b)
- Extended Data Figure 2 | +| ```exp_03__stereochemistry.ipynb``` | Here we assess the performance of LC-MS²Struct in the ONLYSTEREO setting. | - Figure 4 (a, b) | +| ```exp_04__using_3D_features_for_inchikey1_aggregation.ipynb``` | Here we compare the ranking performance in the ALLDATA setting when using 2D and 3D FCFP fingerprints in combination with LC-MS²Struct. The generated figures can be also found in the supplementary material of the manuscript. | - Extended Data Figure 3 | ## Instructions to reproduce the figures diff --git a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/UNUSED__plot_05__a.pdf b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/UNUSED__plot_05__a.pdf index 108fcb5ef9be0950f646c597132819e3f600d758..b977fa56f6036903f56c6e92c8b2b4bd1725931c 100644 GIT binary patch delta 24 ecmdmRl5qnN$;NS78kifJ7@C=yZB~oxVgmqfSO>=d delta 24 ecmdmRl5qnN$;NS-8X6j!nV1?|Y*vfwVgmqf3J1af diff --git a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/UNUSED__plot_05__a.svg b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/UNUSED__plot_05__a.svg index 1007184..a686656 100644 --- a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/UNUSED__plot_05__a.svg +++ b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/UNUSED__plot_05__a.svg @@ -6,7 +6,7 @@ - 2022-05-11T16:45:38.494003 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iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA3UlEQVR4nO2S0Y3DMAxDn9L9d+sWXeHQ - + @@ -6788,7 +6788,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA3UlEQVR4nO2S0Y3DMAxDn9L9d+sWXeHQ - + @@ -6801,7 +6801,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA3UlEQVR4nO2S0Y3DMAxDn9L9d+sWXeHQ - + @@ -6814,7 +6814,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA3UlEQVR4nO2S0Y3DMAxDn9L9d+sWXeHQ - + @@ -6882,7 +6882,7 @@ z " style="fill:#ffffff;"/> - - - + @@ -6914,7 +6914,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA8ElEQVR4nO2SwW3EMAwEh/Jd/w2koLSS - + @@ -6927,7 +6927,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA8ElEQVR4nO2SwW3EMAwEh/Jd/w2koLSS - + @@ -6940,7 +6940,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA8ElEQVR4nO2SwW3EMAwEh/Jd/w2koLSS - + @@ -6954,7 +6954,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA8ElEQVR4nO2SwW3EMAwEh/Jd/w2koLSS - + @@ -7023,7 +7023,7 @@ z " style="fill:#ffffff;"/> - - - + @@ -7054,7 +7054,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA1ElEQVR4nO2SQXKEMAwEW/z/gfuH/GBB - + @@ -7067,7 +7067,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA1ElEQVR4nO2SQXKEMAwEW/z/gfuH/GBB - + @@ -7081,7 +7081,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA1ElEQVR4nO2SQXKEMAwEW/z/gfuH/GBB - + @@ -7150,7 +7150,7 @@ z " style="fill:#ffffff;"/> - - - + @@ -7181,7 +7181,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAAwElEQVR4nO2SMRICMQwDF/7/XqgsUdiX - + @@ -7194,7 +7194,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAAwElEQVR4nO2SMRICMQwDF/7/XqgsUdiX - + @@ -7208,7 +7208,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAAwElEQVR4nO2SMRICMQwDF/7/XqgsUdiX - + @@ -7277,7 +7277,7 @@ z " style="fill:#ffffff;"/> - - - + @@ -7310,7 +7310,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA3UlEQVR4nO2SQW7FMAhE34yTtufrwXrh - + @@ -7378,7 +7378,7 @@ z " style="fill:#ffffff;"/> - - - + @@ -7411,7 +7411,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAABEUlEQVR4nO2SQZKdQAxDn91QyflysDkw - + @@ -7425,7 +7425,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAABEUlEQVR4nO2SQZKdQAxDn91QyflysDkw - + @@ -7438,7 +7438,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAABEUlEQVR4nO2SQZKdQAxDn91QyflysDkw - + @@ -7506,7 +7506,7 @@ z " style="fill:#ffffff;"/> - - - + @@ -7540,7 +7540,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA0ElEQVR4nO2SQXLEIAwEewRO/peH5cGb - + @@ -7556,7 +7556,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA0ElEQVR4nO2SQXLEIAwEewRO/peH5cGb - + @@ -7572,7 +7572,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA0ElEQVR4nO2SQXLEIAwEewRO/peH5cGb - + @@ -7587,7 +7587,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA0ElEQVR4nO2SQXLEIAwEewRO/peH5cGb - + @@ -7657,7 +7657,7 @@ z " style="fill:#ffffff;"/> - - - + @@ -7691,7 +7691,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA+0lEQVR4nO2SQXKEMAwEe2ST3fflYXkw - + @@ -7707,7 +7707,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA+0lEQVR4nO2SQXKEMAwEe2ST3fflYXkw - + @@ -7723,7 +7723,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA+0lEQVR4nO2SQXKEMAwEe2ST3fflYXkw - + @@ -7738,7 +7738,7 @@ iVBORw0KGgoAAAANSUhEUgAAAKIAAAAICAYAAAB6dSSTAAAA+0lEQVR4nO2SQXKEMAwEe2ST3fflYXkw - + @@ -7800,76 +7800,76 @@ z - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + diff --git a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_01__comparison_of_different_score_integration_approaches_3D.ipynb b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_01__comparison_of_different_score_integration_approaches_3D.ipynb index 5ec819d..c8f6774 100644 --- a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_01__comparison_of_different_score_integration_approaches_3D.ipynb +++ b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_01__comparison_of_different_score_integration_approaches_3D.ipynb @@ -143,7 +143,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Performed tests: [1481. 1481. 1500.]\n" + "Performed tests: [1480. 1480. 1500.]\n" ] } ], @@ -909,7 +909,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 38, "id": "7582a127-1785-46a4-82d4-5634f1c909f7", "metadata": {}, "outputs": [ @@ -948,7 +948,9 @@ "g.set_ylabels(\"Averaged top-k accuracy\")\n", "\n", "g.savefig(\"extended_data_figure__number_of_ssvm_models__metfrag.svg\")\n", - "g.savefig(\"extended_data_figure__number_of_ssvm_models__metfrag.pdf\")" + "g.savefig(\"extended_data_figure__number_of_ssvm_models__metfrag.pdf\")\n", + "\n", + "__tmp[[\"scoring_method\", \"k\", \"n_models\", \"top_k_acc\"]].to_csv(\"extended_data_figure__number_of_ssvm_models__metfrag.csv\", index=False)" ] }, { @@ -963,7 +965,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "id": "b6ad953f-b541-469a-aa15-62a5d3d6b28e", "metadata": {}, "outputs": [ @@ -1478,7 +1480,7 @@ "UT_000 6 | 69.6 * " ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -1498,7 +1500,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "id": "06926f0f-e06a-47f5-b592-b72d5e490482", "metadata": {}, "outputs": [ @@ -2013,7 +2015,7 @@ "UT_000 6 43.1 " ] }, - "execution_count": 11, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -2033,7 +2035,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "id": "208ef883-edeb-47f2-b22c-b242cf3e040b", "metadata": {}, "outputs": [ @@ -2612,7 +2614,7 @@ "UT_000 6 | 61.8 * " ] }, - "execution_count": 12, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -2632,7 +2634,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "id": "951b5884-700a-496a-b2bb-7c2fc21edd29", "metadata": {}, "outputs": [ @@ -2640,7 +2642,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Performed tests: [1481. 1481. 1500.]\n" + "Performed tests: [1485. 1485. 1500.]\n" ] } ], @@ -2684,7 +2686,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "id": "96aa5bfb-b4e8-4284-a1c1-a202e941b67d", "metadata": { "tags": [] @@ -2725,7 +2727,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "id": "182b7fa4-dab6-4632-915d-040102d8ab55", "metadata": {}, "outputs": [ @@ -3234,7 +3236,7 @@ "UT_000 6 55.6 | 60.0 * " ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -3254,7 +3256,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "id": "3ae1ba4a-59b4-4449-8dbc-97663d41e6a9", "metadata": {}, "outputs": [ @@ -3385,7 +3387,7 @@ "RP_000 1 | 72.5 " ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -3406,7 +3408,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 39, "id": "0522aaf8-5e4b-4e23-a9f7-eba125e0c9a4", "metadata": {}, "outputs": [ @@ -3445,7 +3447,9 @@ "g.set_ylabels(\"Averaged top-k accuracy\")\n", "\n", "g.savefig(\"extended_data_figure__number_of_ssvm_models__sirius.svg\")\n", - "g.savefig(\"extended_data_figure__number_of_ssvm_models__sirius.pdf\")" + "g.savefig(\"extended_data_figure__number_of_ssvm_models__sirius.pdf\")\n", + "\n", + "__tmp[[\"scoring_method\", \"k\", \"n_models\", \"top_k_acc\"]].to_csv(\"extended_data_figure__number_of_ssvm_models__sirius.csv\", index=False)" ] }, { @@ -3460,7 +3464,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "id": "f24cc382-b675-42ea-a6fe-25631e7d5753", "metadata": {}, "outputs": [ @@ -3975,7 +3979,7 @@ "UT_000 6 | 61.7 * " ] }, - "execution_count": 18, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -3995,7 +3999,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "id": "36e84a97-5254-4223-ae8a-6242bccabec2", "metadata": {}, "outputs": [ @@ -4510,7 +4514,7 @@ "UT_000 6 | 55.6 " ] }, - "execution_count": 19, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -4530,7 +4534,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "id": "49a982a0-cf21-4d27-bc1a-56b3fb4571b5", "metadata": {}, "outputs": [ @@ -5109,7 +5113,7 @@ "UT_000 6 | 56.9 " ] }, - "execution_count": 20, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -5129,7 +5133,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "id": "8b3539d1-1e92-4836-8678-4e1e05dccc85", "metadata": {}, "outputs": [ @@ -5137,7 +5141,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Performed tests: [1485. 1485. 1500.]\n" + "Performed tests: [1488. 1488. 1500.]\n" ] } ], @@ -5181,7 +5185,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 21, "id": "80ce567d-b5b3-4364-a9db-04ea27c663fc", "metadata": { "tags": [] @@ -5222,7 +5226,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 22, "id": "3b2c341f-6712-4570-b3c4-21cd66804c84", "metadata": {}, "outputs": [ @@ -5731,7 +5735,7 @@ "UT_000 6 71.7 | 79.6 * " ] }, - "execution_count": 24, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -5751,7 +5755,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 23, "id": "f6c29bd9-fec5-4745-a1d8-aad7c1986f1a", "metadata": {}, "outputs": [ @@ -5882,7 +5886,7 @@ "RP_000 1 | 49.3 " ] }, - "execution_count": 25, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -5903,7 +5907,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 40, "id": "487b20b1-ab93-470d-8885-449744676df5", "metadata": {}, "outputs": [ @@ -5942,7 +5946,9 @@ "g.set_ylabels(\"Averaged top-k accuracy\")\n", "\n", "g.savefig(\"extended_data_figure__number_of_ssvm_models__cfmid.svg\")\n", - "g.savefig(\"extended_data_figure__number_of_ssvm_models__cfmid.pdf\")" + "g.savefig(\"extended_data_figure__number_of_ssvm_models__cfmid.pdf\")\n", + "\n", + "__tmp[[\"scoring_method\", \"k\", \"n_models\", \"top_k_acc\"]].to_csv(\"extended_data_figure__number_of_ssvm_models__cfmid.csv\", index=False)" ] }, { @@ -7626,7 +7632,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "id": "885a4d68-7348-4cd0-b069-1459b87ba8a9", "metadata": {}, "outputs": [ @@ -7672,7 +7678,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 29, "id": "4547fff0-64c8-45c9-a905-59784faa98ae", "metadata": {}, "outputs": [ @@ -7779,6 +7785,16 @@ " plt.savefig(os.path.join(\".\", os.extsep.join([\"plot_01__a\", ext])))" ] }, + { + "cell_type": "code", + "execution_count": 34, + "id": "e870f5e4-d0de-44d5-8940-e6ba9ae146d6", + "metadata": {}, + "outputs": [], + "source": [ + "__tmp__01__a.to_csv(\"plot_01__a.csv\", index=False)" + ] + }, { "cell_type": "code", "execution_count": 30, @@ -7836,6 +7852,17 @@ " plt.savefig(os.path.join(\".\", os.extsep.join([\"plot_01__b\", ext])))" ] }, + { + "cell_type": "code", + "execution_count": 36, + "id": "fadd5a69-8c59-430d-ab04-7d91f14b738f", + "metadata": {}, + "outputs": [], + "source": [ + "__tmp__01__b[0].to_csv(\"plot_01__b__label.csv\", index=False)\n", + "__tmp__01__b[1].to_csv(\"plot_01__b__color.csv\", index=False)" + ] + }, { "cell_type": "markdown", "id": "cc40dfd6-6e8a-40f0-8eb5-d74215f8bc70", @@ -7978,6 +8005,14 @@ "for ext in [\"pdf\", \"svg\"]:\n", " plt.savefig(os.path.join(\".\", os.extsep.join([\"UNUSED__plot_05__b\", ext])))" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "19408203-cfa9-437f-83da-279b8fae76b4", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_02__performance_analysis_using_molecule_classification_3D.ipynb b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_02__performance_analysis_using_molecule_classification_3D.ipynb index a57d142..d9d0e72 100644 --- a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_02__performance_analysis_using_molecule_classification_3D.ipynb +++ b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_02__performance_analysis_using_molecule_classification_3D.ipynb @@ -232,7 +232,10 @@ ") \n", "\n", "for ext in [\"pdf\", \"svg\"]:\n", - " plt.savefig(os.path.join(\".\", os.extsep.join([\"plot_02__a\", ext])))" + " plt.savefig(os.path.join(\".\", os.extsep.join([\"plot_02__a\", ext])))\n", + " \n", + "# Write out data shown in the plot\n", + "tmp[\"superclass\"].rename({\"top_k_p_msplrt\": \"top_k_p_lcms2struct\"}, axis=1).to_csv(\"plot_02__a.csv\", index=False)" ] }, { @@ -841,7 +844,12 @@ ")\n", "\n", "for ext in [\"pdf\", \"svg\"]:\n", - " plt.savefig(os.path.join(\".\", os.extsep.join([\"extended_data_figure__performance_per_classyfire_class\", ext])))" + " plt.savefig(os.path.join(\".\", os.extsep.join([\"extended_data_figure__performance_per_classyfire_class\", ext])))\n", + " \n", + "# Write out data shown in the plot\n", + "tmp[\"class\"] \\\n", + " .rename({\"top_k_p_msplrt\": \"top_k_p_lcms2struct\"}, axis=1) \\\n", + " .to_csv(\"extended_data_figure__performance_per_classyfire_class.csv\", index=False)" ] }, { @@ -1426,13 +1434,13 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "id": "8e528f7a-1cce-473d-93f3-890062ceef1e", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -1449,7 +1457,10 @@ ")\n", "\n", "for ext in [\"pdf\", \"svg\"]:\n", - " plt.savefig(os.path.join(\".\", os.extsep.join([\"NEW__plot_02__b\", ext])))" + " plt.savefig(os.path.join(\".\", os.extsep.join([\"plot_02__b\", ext])))\n", + " \n", + "# Write out data shown in the plot\n", + "tmp[\"pubchemlite\"].rename({\"top_k_p_msplrt\": \"top_k_p_lcms2struct\"}, axis=1).to_csv(\"plot_02__b.csv\", index=False)" ] }, { diff --git a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_03__stereochemistry.ipynb b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_03__stereochemistry.ipynb index e741630..6285a36 100644 --- a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_03__stereochemistry.ipynb +++ b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_03__stereochemistry.ipynb @@ -2171,7 +2171,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "id": "4547fff0-64c8-45c9-a905-59784faa98ae", "metadata": {}, "outputs": [ @@ -2250,6 +2250,16 @@ " plt.savefig(os.path.join(\".\", os.extsep.join([\"plot_03__a\", ext])))" ] }, + { + "cell_type": "code", + "execution_count": 16, + "id": "88664e78-c1eb-4fdb-9625-ab5a4389370e", + "metadata": {}, + "outputs": [], + "source": [ + "__tmp__03__a.to_csv(\"plot_03__a.csv\", index=False)" + ] + }, { "cell_type": "code", "execution_count": 14, @@ -2299,11 +2309,14 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "66115080-c67b-40f3-8105-e0936f30d350", + "execution_count": 17, + "id": "ec4d34ce-a90a-4d55-bdd7-20ac940b0859", "metadata": {}, "outputs": [], - "source": [] + "source": [ + "__tmp__03__b[0].to_csv(\"plot_03__b__label.csv\", index=False)\n", + "__tmp__03__b[1].to_csv(\"plot_03__b__color.csv\", index=False)" + ] } ], "metadata": { @@ -2327,4 +2340,4 @@ }, "nbformat": 4, "nbformat_minor": 5 -} \ No newline at end of file +} diff --git a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_04__using_3D_features_for_inchikey1_aggregation.ipynb b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_04__using_3D_features_for_inchikey1_aggregation.ipynb index aad1f90..7ec33e6 100644 --- a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_04__using_3D_features_for_inchikey1_aggregation.ipynb +++ b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_04__using_3D_features_for_inchikey1_aggregation.ipynb @@ -3501,12 +3501,22 @@ ")\n", "\n", "for ext in [\"pdf\", \"svg\"]:\n", - " plt.savefig(os.path.join(\".\", os.extsep.join([\"comparison_of_2D_and_3D_fps_for_ALLDATA__a\", ext])))" + " plt.savefig(os.path.join(\".\", os.extsep.join([\"extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__a\", ext])))" ] }, { "cell_type": "code", "execution_count": 14, + "id": "af90a0ae-6ec1-4f5f-8f93-cf26e3837ca3", + "metadata": {}, + "outputs": [], + "source": [ + "__tmp__03__a.to_csv(\"extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__a.csv\", index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, "id": "506c9978-3619-4191-acdf-4772600ef4f1", "metadata": {}, "outputs": [ @@ -3548,7 +3558,18 @@ ")\n", "\n", "for ext in [\"pdf\", \"svg\"]:\n", - " plt.savefig(os.path.join(\".\", os.extsep.join([\"comparison_of_2D_and_3D_fps_for_ALLDATA__b\", ext])))" + " plt.savefig(os.path.join(\".\", os.extsep.join([\"extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__b\", ext])))" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "d298ee98-5940-461b-8904-79ae784158dd", + "metadata": {}, + "outputs": [], + "source": [ + "__tmp__03__b[0].to_csv(\"extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__b__label.csv\", index=False)\n", + "__tmp__03__b[1].to_csv(\"extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__b__color.csv\", index=False)" ] }, { diff --git a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__a.csv b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__a.csv new file mode 100644 index 0000000..cf1ecea --- /dev/null +++ b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__a.csv @@ -0,0 +1,181 @@ +k,avg_top_k_acc,scoring_method,ms2scorer +1,5.810560129631063,Only-MS$^2$,CFM-ID +2,11.315278708262502,Only-MS$^2$,CFM-ID +3,15.980762107082443,Only-MS$^2$,CFM-ID +4,20.268309708078682,Only-MS$^2$,CFM-ID +5,23.51578154323946,Only-MS$^2$,CFM-ID +6,26.05675969745239,Only-MS$^2$,CFM-ID +7,28.36503956195496,Only-MS$^2$,CFM-ID +8,30.00753624513262,Only-MS$^2$,CFM-ID +9,31.650342036565696,Only-MS$^2$,CFM-ID +10,32.88867534028151,Only-MS$^2$,CFM-ID +11,34.242401666492285,Only-MS$^2$,CFM-ID 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b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__b__color.csv new file mode 100644 index 0000000..047e8d3 --- /dev/null +++ b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__comparison_of_2D_and_3D_fps_for_ALLDATA__b__color.csv @@ -0,0 +1,577 @@ +scoring_method,dataset,top_k_acc,ms2scorer,k +Only-MS$^2$,AC_003,0.0,CFM-ID,1 +LC-MS$^2$Struct (2D),AC_003,0.9333333333333327,CFM-ID,1 +LC-MS$^2$Struct (3D),AC_003,2.0,CFM-ID,1 +Only-MS$^2$,AU_000,0.0,CFM-ID,1 +LC-MS$^2$Struct (2D),AU_000,5.954839207780383,CFM-ID,1 +LC-MS$^2$Struct (3D),AU_000,6.8881725411137165,CFM-ID,1 +Only-MS$^2$,AU_002,0.0,CFM-ID,1 +LC-MS$^2$Struct (2D),AU_002,0.48542477787760685,CFM-ID,1 +LC-MS$^2$Struct (3D),AU_002,1.9579215333932316,CFM-ID,1 +Only-MS$^2$,AU_003,0.0,CFM-ID,1 +LC-MS$^2$Struct (2D),AU_003,5.199999999999999,CFM-ID,1 +LC-MS$^2$Struct (3D),AU_003,5.6,CFM-ID,1 +Only-MS$^2$,BML_000,0.0,CFM-ID,1 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(2D),AVG.,78.09740754620611,SIRIUS,20 +LC-MS$^2$Struct (3D),AVG.,79.0566418045601,SIRIUS,20 diff --git a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__number_of_ssvm_models__cfmid.csv b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__number_of_ssvm_models__cfmid.csv new file mode 100644 index 0000000..a5de625 --- /dev/null +++ b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__number_of_ssvm_models__cfmid.csv @@ -0,0 +1,11329 @@ +scoring_method,k,n_models,top_k_acc +LC-MS$^2$Struct,1,1,8.0 +LC-MS$^2$Struct,20,1,36.0 +Only-MS$^2$,1,1,6.0 +Only-MS$^2$,20,1,36.0 +LC-MS$^2$Struct,1,2,6.0 +LC-MS$^2$Struct,20,2,42.0 +Only-MS$^2$,1,2,6.0 +Only-MS$^2$,20,2,36.0 +LC-MS$^2$Struct,1,3,6.0 +LC-MS$^2$Struct,20,3,42.0 +Only-MS$^2$,1,3,6.0 +Only-MS$^2$,20,3,36.0 +LC-MS$^2$Struct,1,4,6.0 +LC-MS$^2$Struct,20,4,38.0 +Only-MS$^2$,1,4,6.0 +Only-MS$^2$,20,4,36.0 +LC-MS$^2$Struct,1,5,6.0 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a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__performance_per_classyfire_class.csv b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__performance_per_classyfire_class.csv new file mode 100644 index 0000000..786d92a --- /dev/null +++ b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/extended_data_figure__performance_per_classyfire_class.csv @@ -0,0 +1,85 @@ +classyfire_class,top_k_p_onlyms,top_k_p_lcms2struct,top_k_p_improvement,n_cand,n_isomers,n_class_support,k,ms2scorer,improvement_in_n +Benzene and substituted derivatives,5.342416316930816,8.650834637454354,3.308418320523541,1022.5,"min=1, max=41, avg=1.9, med=1.0",640,1,CFM-ID,21.173877251350664 +Carboxylic acids and derivatives,6.741442667844013,11.40596846846847,4.664525800624455,2357.0,"min=1, max=93, avg=6.9, med=3.0",223,1,CFM-ID,10.401892535392536 +Coumarins and 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med=1.0",65,1,MetFrag,1.789007540280975 +Isoflavonoids,11.368421052631579,15.122807017543856,3.75438596491228,354.0,"min=1, max=28, avg=4.9, med=1.0",57,1,MetFrag,2.1399999999999992 +Organonitrogen compounds,3.2714504208109387,7.770270270270273,4.49881984945933,881.5,"min=1, max=18, avg=2.5, med=1.0",74,1,MetFrag,3.329126688599904 +Organooxygen compounds,20.66830259593332,29.832545311268714,9.1642427153354,88.5,"min=1, max=154, avg=11.4, med=3.0",188,1,MetFrag,17.22877630483055 +Prenol lipids,15.611784158123562,28.937799043062196,13.326014884938637,69.0,"min=1, max=156, avg=21.9, med=12.0",209,1,MetFrag,27.85137110952175 +Quinolines and derivatives,3.425651033663206,4.482758620689655,1.0571075870264515,916.5,"min=1, max=22, avg=2.7, med=1.0",58,1,MetFrag,0.6131224004753418 +Sphingolipids,1.9909581432229726,2.5280477148124203,0.5370895715894483,48.0,"min=1, max=14, avg=3.9, med=3.0",63,1,MetFrag,0.3383664301013524 +Steroids and steroid derivatives,7.401346406458539,12.134146341463413,4.732799935004874,224.5,"min=1, max=244, avg=35.8, med=31.5",164,1,MetFrag,7.761791893407994 +Benzene and substituted derivatives,47.094222050607,57.19272544992175,10.098503399314772,1022.5,"min=1, max=41, avg=1.9, med=1.0",640,20,MetFrag,64.63042175561455 +Carboxylic acids and derivatives,52.74665815899213,65.60524662234302,12.85858846335089,2357.0,"min=1, max=93, avg=6.9, med=3.0",223,20,MetFrag,28.674652273272482 +Coumarins and derivatives,30.722558079510833,38.03571428571429,7.313156206203452,377.5,"min=1, max=31, avg=3.6, med=1.0",56,20,MetFrag,4.095367475473933 +Fatty Acyls,38.16426292785797,69.69668166479192,31.532418736933938,1157.0,"min=1, max=72, avg=6.2, med=3.0",127,20,MetFrag,40.046171795906105 +Flavonoids,38.5100409965169,52.02083333333333,13.510792336816436,166.0,"min=1, max=91, avg=8.7, med=3.0",288,20,MetFrag,38.91108193003134 +Glycerophospholipids,66.0197482773534,76.76098382810433,10.74123555075091,75.0,"min=1, max=15, 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+MS$^2$+RT,AVG.,75.17404660405414,SIRIUS,20 +MS$^2$+logP,AVG.,77.58947299325006,SIRIUS,20 +MS$^2$+RO,AVG.,78.86502101475385,SIRIUS,20 diff --git a/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/plot_02__a.csv b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/plot_02__a.csv new file mode 100644 index 0000000..834efc2 --- /dev/null +++ b/results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/plot_02__a.csv @@ -0,0 +1,49 @@ +classyfire_superclass,top_k_p_onlyms,top_k_p_lcms2struct,top_k_p_improvement,n_cand,n_isomers,n_class_support,k,ms2scorer,improvement_in_n +Alkaloids and derivatives,1.053435114503817,2.961832061068703,1.908396946564885,4979.0,"min=1, max=123, avg=16.2, med=11.0",131,1,CFM-ID,2.499999999999999 +Benzenoids,4.6150521526405575,7.679943258248342,3.064891105607785,989.0,"min=1, max=51, avg=2.3, med=1.0",825,1,CFM-ID,25.285351621264226 +Lipids and lipid-like molecules,8.81429476557527,16.232442885411043,7.418148119835776,83.0,"min=1, max=244, avg=11.7, med=3.0",1090,1,CFM-ID,80.85781450620996 +Organic acids and derivatives,9.731105879438728,14.283776809547954,4.552670930109226,619.5,"min=1, max=93, avg=5.8, med=3.0",318,1,CFM-ID,14.477493557747339 +Organic nitrogen compounds,11.864864864864872,12.702702702702707,0.8378378378378383,881.5,"min=1, max=18, avg=2.5, med=1.0",74,1,CFM-ID,0.6200000000000003 +Organic oxygen compounds,20.093549476528196,30.640211640211632,10.546662163683438,88.5,"min=1, max=154, avg=11.4, med=3.0",188,1,CFM-ID,19.82772486772486 +Organoheterocyclic compounds,4.897821132122795,8.181984278953102,3.2841631468303056,982.0,"min=1, max=101, avg=3.6, med=1.0",622,1,CFM-ID,20.4274947732845 +Phenylpropanoids and polyketides,5.951762523191093,9.881261595547306,3.9294990723562138,247.0,"min=1, max=113, avg=7.5, med=3.0",539,1,CFM-ID,21.179999999999993 +Alkaloids and derivatives,21.022900763358766,33.75572519083969,12.732824427480923,4979.0,"min=1, max=123, avg=16.2, med=11.0",131,20,CFM-ID,16.68000000000001 +Benzenoids,40.22392183481301,47.453303984151425,7.229382149338437,989.0,"min=1, max=51, avg=2.3, med=1.0",825,20,CFM-ID,59.6424027320421 +Lipids and lipid-like molecules,61.787074042932474,74.28280404610679,12.495730003174346,83.0,"min=1, max=244, avg=11.7, med=3.0",1090,20,CFM-ID,136.20345703460038 +Organic acids and derivatives,52.52979676699929,60.92834312404051,8.398546357041212,619.5,"min=1, max=93, avg=5.8, med=3.0",318,20,CFM-ID,26.707377415391058 +Organic nitrogen compounds,42.027027027027046,47.5675675675676,5.540540540540547,881.5,"min=1, max=18, avg=2.5, med=1.0",74,20,CFM-ID,4.100000000000005 +Organic oxygen compounds,67.92960342346755,76.05786333445906,8.128259910991517,88.5,"min=1, max=154, avg=11.4, med=3.0",188,20,CFM-ID,15.281128632664052 +Organoheterocyclic compounds,33.09701298183861,39.180224306204295,6.083211324365684,982.0,"min=1, max=101, avg=3.6, med=1.0",622,20,CFM-ID,37.83757443755455 +Phenylpropanoids and polyketides,47.26901669758812,56.12987012987011,8.860853432282005,247.0,"min=1, max=113, avg=7.5, med=3.0",539,20,CFM-ID,47.76 +Alkaloids and derivatives,3.907162012512529,14.671755725190847,10.764593712678312,4979.0,"min=1, max=123, avg=16.2, med=11.0",131,1,MetFrag,14.10161776360859 +Benzenoids,5.741310685622275,10.565456012913641,4.824145327291364,989.0,"min=1, max=51, avg=2.3, med=1.0",825,1,MetFrag,39.79919895015375 +Lipids and lipid-like molecules,8.987887119799526,19.6425474597358,10.654660339936274,83.0,"min=1, max=244, avg=11.7, med=3.0",1090,1,MetFrag,116.1357977053054 +Organic acids and derivatives,10.501302092614978,19.151495277179862,8.650193184564875,619.5,"min=1, max=93, avg=5.8, med=3.0",318,1,MetFrag,27.507614326916304 +Organic nitrogen compounds,3.2185260405350733,7.567567567567572,4.349041527032494,881.5,"min=1, max=18, avg=2.5, med=1.0",74,1,MetFrag,3.2182907300040453 +Organic oxygen compounds,20.48865302215118,29.906675672633124,9.418022650481944,88.5,"min=1, max=154, avg=11.4, med=3.0",188,1,MetFrag,17.705882582906057 +Organoheterocyclic compounds,6.331081851317472,9.18832998714859,2.8572481358311155,982.0,"min=1, max=101, avg=3.6, med=1.0",622,1,MetFrag,17.772083404869537 +Phenylpropanoids and polyketides,6.0407289415919925,11.187384044526903,5.1466551029349095,247.0,"min=1, max=113, avg=7.5, med=3.0",539,1,MetFrag,27.74047100481916 +Alkaloids and derivatives,28.038914550505005,34.351145038167914,6.312230487662937,4979.0,"min=1, max=123, avg=16.2, med=11.0",131,20,MetFrag,8.269021938838447 +Benzenoids,43.8741946807249,53.87835644581408,10.004161765089181,989.0,"min=1, max=51, avg=2.3, med=1.0",825,20,MetFrag,82.53433456198574 +Lipids and lipid-like molecules,57.989372396789456,71.71384001319795,13.724467616408479,83.0,"min=1, max=244, avg=11.7, med=3.0",1090,20,MetFrag,149.5966970188524 +Organic acids and derivatives,58.62749691421814,69.34631477883201,10.718817864613836,619.5,"min=1, max=93, avg=5.8, 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