fgsea
Bioc currentFast Gene Set Enrichment Analysis
Release Lineage
Entered 3.4 · Oct 18, 2016
Current · Requires R 4.6
Description
The package implements an algorithm for fast gene set enrichment analysis. Using the fast algorithm allows to make more permutations and get more fine grained p-values, which allows to use accurate stantard approaches to multiple hypothesis correction.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
110 23 exported
Complexity
3 avg / 10 max
Call network
110 nodes / 81 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
7,903
Files
105
Compiled share
24.6%
Has compiled src
Yes
Language breakdown
API
Exported functions
23
Internal functions
26
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.35
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
9.1%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.1
System requirements
–
C++ standard
–
License
MIT + file LICENCE
License flags
SPDX valid, OSI approved
History
Versions
20
First release
2016-11-20
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
5
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 94%
- Documented parameters
- 100%
- Return-value docs
- 91%
- References docs
- 0%
Topics
Depended on by (75)
Bioconductor (57)
People
- Alexey Sergushichev author maintainer
- Nikolay Budin contributor
- Nikita Golikov author
- Nikita Gusak contributor
- Gennady Korotkevich author
- Zieman Mark contributor
- Vladimir Sukhov author