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EGSEA

Bioc current

Ensemble of Gene Set Enrichment Analyses

v1.40.0 · Package record · software · GPL-3

Release Lineage

Entered 3.3 · May 4, 2016

Current · Requires R 4.6

1.0 In 21 of 49 releases 3.23

Description

This package implements the Ensemble of Gene Set Enrichment Analyses (EGSEA) method for gene set testing. EGSEA algorithm utilizes the analysis results of twelve prominent GSE algorithms in the literature to calculate collective significance scores for each gene set.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

94 14 exported

Complexity

6.7 avg / 38 max

Call network

94 nodes / 94 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

10,237

Files

42

Compiled share

0%

Has compiled src

No

Language breakdown

R 7,305 (71.4%)Tests 38 (0.4%)Docs 1,691 (16.5%)Vignettes 1,203 (11.8%)

API

Exported functions

30

Internal functions

80

Recent export changes

v3.6+2 buildGMTIdx, egsea.ma
v3.5+3 egsea.logo, generateReport, plotBars

Testing

Has tests

Yes

Test-to-code ratio

0.01

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

48.4%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.3.0

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

21

First release

2016-05-15

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

100%

Dep drift

8

LOC over versions

v3.3: 6,036 LOCv3.4: 9,165 LOCv3.5: 10,249 LOCv3.6: 10,199 LOCv3.7: 10,199 LOCv3.8: 10,226 LOCv3.9: 10,226 LOCv3.10: 10,226 LOCv3.11: 10,226 LOCv3.12: 10,226 LOCv3.13: 10,226 LOCv3.14: 10,224 LOCv3.15: 10,224 LOCv3.16: 10,224 LOCv3.17: 10,224 LOCv3.18: 10,223 LOCv3.19: 10,237 LOCv3.20: 10,237 LOCv3.21: 10,237 LOCv3.22: 10,237 LOCv3.23: 10,237 LOC

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 89 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
7includes a package overview page
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
43%
Vignettes (1)

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Datasets

Bundled datasets · 1
NameClassSizeAlso in
arraydatalist2 elementsNo other package

All of EGSEA's data objects

Topics

Maintainer
Monther Alhamdoosh

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (1)

Bioconductor (1)

Suggested by (2)

People

Cite

Cite this package

Run in R for the authors' entry:

citation("EGSEA")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bioinformatics/btw623.

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 EGSEA version 1.40.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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