escape
This is the released version of escape; for the devel version, see escape.
Easy single cell analysis platform for enrichment
Bioconductor version: Release (3.22)
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.
Author: Nick Borcherding [aut, cre], Jared Andrews [aut], Tobias Hoch [ctb], Alexei Martsinkovskiy [ctb]
Maintainer: Nick Borcherding <ncborch at gmail.com>
citation("escape")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("escape")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("escape")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.