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This is the development version of escape; for the stable release version, see escape.

Easy single cell analysis platform for enrichment

Bioconductor version: Development (3.20)

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.

Author: Nick Borcherding [aut, cre], Jared Andrews [aut]

Maintainer: Nick Borcherding <ncborch at>

Citation (from within R, enter citation("escape")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Escape-ingToWork HTML R Script
Reference Manual PDF


biocViews Annotation, Classification, GeneSetEnrichment, GeneSignaling, Pathways, Sequencing, SingleCell, Software
Version 2.1.0
In Bioconductor since BioC 3.12 (R-4.0) (3.5 years)
License MIT + file LICENSE
Depends R (>= 4.1)
Imports AUCell, BiocParallel, grDevices, dplyr, ggdist, ggplot2, ggpointdensity, GSEABase, GSVA, SingleCellExperiment, ggridges, msigdbr, stats, reshape2, patchwork, MatrixGenerics, utils, SummarizedExperiment, UCell, stringr, methods, SeuratObject
System Requirements
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Suggests Seurat, hexbin, scran, knitr, rmarkdown, markdown, BiocStyle, RColorBrewer, rlang, spelling, testthat (>= 3.0.0), vdiffr
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Follow Installation instructions to use this package in your R session.

Source Package escape_2.1.0.tar.gz
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macOS Binary (x86_64) escape_2.1.0.tgz
macOS Binary (arm64) escape_2.1.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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