EGSEA
Bioc currentEnsemble of Gene Set Enrichment Analyses
Release Lineage
Entered 3.3 · May 4, 2016
Current · Requires R 4.6
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.
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.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
10,237
Files
43
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
30
Internal functions
80
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.01
testthat edition
–
CI present
No
CI type
[]
PR gated
No
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
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 43%
Topics
Depended on by (3)
People
- Monther Alhamdoosh author maintainer
- Milica Ng author
- Matthew Ritchie contributor
- Luyi Tian author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("EGSEA")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.
From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.