DESCRIPTION

Type: Package
Package: poweranalysis
Title: Carry out Power Analysis for Differential Expression in single-cell RNA-sequencing data
Version: 0.0.0.9000
Authors@R: c(
    person("Salman", "Fawad", email = "salman.fawad16@imperial.ac.uk", role = c("aut", "cre")),
    person("Yunning", "Yuan", email = "yunning.yuan.21@ucl.ac.uk", role = c("aut")),
    person("Hiranyamaya", "Dash", email = "hdash.work@gmail.com", role = c("ctb"),
    comment = c(ORCID = "0009-0005-5514-505X")))
Description: A pipeline for carrying out end-to-end Power Analysis for differential expression in scRNA-seq data.
             Allows the user to carry out sum-pseudobulk DGE analysis (implemented in edgeR), which can then be used
             as part of the main power analysis. A down-sampling approach is used, and the % of True Positive DEGs detected
             are reported (with many layers of complexity). Other complementary analyses may also be carried out
             using this package.
License: MIT + file LICENSE
URL: https://github.com/neurogenomics/Power_Analysis_package
BugReports: https://github.com/neurogenomics/Power_Analysis_package/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports:
    qs,
    SingleCellExperiment,
    biomaRt,
    ggplot2,
    cowplot,
    viridis,
    ggrepel,
    edgeR,
    stats,
    data.table,
    reshape2,
    EnsDb.Hsapiens.v79,
    grid,
    Matrix,
    ensembldb,
    scales,
    utils,
    gtools,
    stringr,
    gridExtra,
    ggcorrplot,
    infotheo,
    RColorBrewer,
    grDevices
Suggests: 
    knitr,
    rmarkdown,
    rworkflows,
    badger
VignetteBuilder: knitr