multiGSEA
Bioc currentCombining GSEA-based pathway enrichment with multi omics data integration
Release Lineage
Entered 3.12 · Oct 28, 2020
Current · Requires R 4.6
Description
Extracted features from pathways derived from 8 different databases (KEGG, Reactome, Biocarta, etc.) can be used on transcriptomic, proteomic, and/or metabolomic level to calculate a combined GSEA-based enrichment score.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
18 11 exported
Complexity
3.8 avg / 16 max
Call network
18 nodes / 13 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
2,418
Files
41
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
11
Internal functions
7
Testing
Has tests
Yes
Test-to-code ratio
0.17
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.0.0
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
12
First release
2021-04-21
Latest release
2026-04-28
Avg cadence
181 days
Cold removal rate
–
Dep drift
1
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 21
- Examples that run
- 100%14 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- multiGSEA.html HTML
Repository practices
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/yigbt/multigsea on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Datasets
| Name | Class | Size | Also in |
|---|---|---|---|
| metabolome | tibble | 4,881 × 4 | No other package |
| proteome | tibble | 8,274 × 4 | No other package |
| transcriptome | tibble | 15,174 × 4 | No other package |
Topics
People
- Sebastian Canzler author maintainer
- Jörg Hackermüller author
Cite
Cite this package
Run in R for the authors' entry:
citation("multiGSEA")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1186/s12859-020-03910-x.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.