escape/DESCRIPTION at master · BorchLab/escape · GitHub

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Package: escape
Title: Easy single cell analysis platform for enrichment
Version: 2.6.2
Authors@R: c(
    person(given = "Nick", family = "Borcherding", role = c("aut", "cre"), email = "ncborch@gmail.com"),
    person(given = "Jared", family = "Andrews", role = c("aut"), email = "jared.andrews07@gmail.com"),
    person(given = "Tobias", family = "Hoch", role = c("ctb"), email = "tobias@hoch.earth"),
    person(given = "Alexei", family = "Martsinkovskiy", role = c("ctb"), email = "alexei.martsinkovskiy@gmail.com")
    )
Description: A bridging R package to facilitate gene set enrichment analysis (GSEA) in the context of single-cell RNA sequencing. Using raw count information, Seurat objects, or SingleCellExperiment format, users can perform and visualize ssGSEA, GSVA, AUCell, and UCell-based enrichment calculations across individual cells. Alternatively, escape supports use of rank-based GSEA, such as the use of differential gene expression via fgsea.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.3.3
biocViews: Software, SingleCell, Classification, Annotation, GeneSetEnrichment, Sequencing, GeneSignaling, Pathways
Depends: R (>= 4.1)
Imports:
    ggdist,
    ggplot2 (>= 3.5.0),
    grDevices,
    Matrix,
    MatrixGenerics,
    methods,
    stats,
    SummarizedExperiment,
    utils
Suggests:
    AUCell,
    BiocParallel,
    BiocStyle,
    DelayedMatrixStats,
    dplyr,
    fgsea,
    GSEABase,
    ggraph,
    ggridges,
    ggpointdensity,
    GSVA,
    hexbin,
    igraph,
    irlba,
    knitr,
    msigdb,
    patchwork,
    rmarkdown,
    rlang,
    scran,
    SeuratObject,
    Seurat,
    SingleCellExperiment,
    spelling,
    stringr,
    testthat (>= 3.0.0),
    UCell
VignetteBuilder: knitr
Language: en-US
BugReports: https://github.com/BorchLab/escape/issues