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escape

Bioc current

Easy single cell analysis platform for enrichment

v2.8.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.12 · Oct 28, 2020

Current · Requires R 4.6

1.0 In 12 of 49 releases 3.23

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.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

49 15 exported

Complexity

5.8 avg / 19 max

Call network

49 nodes / 98 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

6,059

Files

72

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,849 (47%)Tests 1,389 (22.9%)Docs 1,221 (20.2%)Vignettes 600 (9.9%)

API

Exported functions

15

Internal functions

30

Recent export changes

v3.22+3 enrichIt, enrichItPlot, gseaEnrichment
v3.19+7 densityEnrichment, escape.matrix, geyserEnrichment +4 more  −4 enrichIt, enrichmentPlot, getSignificance 1 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.49

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

11.1%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

12

First release

2021-04-22

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

37

LOC over versions

v3.12: 1,137 LOCv3.13: 1,137 LOCv3.14: 1,137 LOCv3.15: 2,223 LOCv3.16: 2,223 LOCv3.17: 2,223 LOCv3.18: 2,223 LOCv3.19: 3,493 LOCv3.20: 3,732 LOCv3.21: 3,733 LOCv3.22: 6,049 LOCv3.23: 6,059 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 359 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
87%
Documented parameters
99%
Return-value docs
100%
References docs
6%

Topics

Depended on by (2)

Bioconductor (2)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("escape")
Borcherding, N., Andrews, J., Hoch, T., & Martsinkovskiy, A. (2026). escape: Easy single cell analysis platform for enrichment (Version 2.8.0) [Computer software]. https://bioconductor.org/packages/escape

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for escape version 2.8.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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