GSRI
Bioc currentGene Set Regulation Index
Release Lineage
Entered 2.6 · Apr 23, 2010
Current · Requires R 4.6
Description
The GSRI package estimates the number of differentially expressed genes in gene sets, utilizing the concept of the Gene Set Regulation Index (GSRI).
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
8 2 exported
Complexity
3 avg / 14 max
Call network
8 nodes / 4 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
2,123
Files
23
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
2
Internal functions
6
Testing
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
11.1%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
2.14.2
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
33
First release
2010-04-22
Latest release
2026-04-28
Avg cadence
183 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
- Help pages
- 10 (1 internal)includes a package overview page
- Examples that run
- 33%3 run in a plain check · 6 never run
- Exported functions with examples
- 100%
- Documented parameters
- 83%
- Return-value docs
- 100%
- Help pages citing references
- 20%
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Topics
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("GSRI")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
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.