mogsa
Bioc currentMultiple omics data integrative clustering and gene set analysis
Release Lineage
Entered 3.1 · Apr 17, 2015
Current · Requires R 4.6
Description
This package provide a method for doing gene set analysis based on multiple omics data.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
51 24 exported
Complexity
5.5 avg / 17 max
Call network
51 nodes / 33 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
5,604
Files
88
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
24
Internal functions
21
Recent export changes
Testing & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
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
3.4.0
System requirements
–
C++ standard
–
License
GPL-2
License flags
SPDX valid, OSI approved
History
Versions
23
First release
2015-07-23
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
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
- 98%
- Return-value docs
- 96%
- References docs
- 40%
Topics
People
Chen Meng
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("mogsa")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.