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GSRI

Bioc current

Gene Set Regulation Index

v2.60.0 · software · GPL-3

Release Lineage

Entered 2.6 · Apr 23, 2010

Current · Requires R 4.6

1.0 In 33 of 49 releases 3.23

Description

The GSRI package estimates the number of differentially expressed genes in gene sets, utilizing the concept of the Gene Set Regulation Index (GSRI).

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.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

3,720

Files

26

Compiled share

0%

Has compiled src

No

Language breakdown

R 502 (13.5%)Docs 1,200 (32.3%)Vignettes 2,018 (54.2%)

API

Exported functions

2

Internal functions

6

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

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

v2.6: 588 LOCv2.7: 743 LOCv2.8: 1,702 LOCv2.9: 1,702 LOCv2.10: 3,720 LOCv2.11: 3,720 LOCv2.12: 3,720 LOCv2.13: 3,720 LOCv2.14: 3,720 LOCv3.0: 3,720 LOCv3.1: 3,720 LOCv3.2: 3,720 LOCv3.3: 3,720 LOCv3.4: 3,720 LOCv3.5: 3,720 LOCv3.6: 3,720 LOCv3.7: 3,720 LOCv3.8: 3,720 LOCv3.9: 3,720 LOCv3.10: 3,720 LOCv3.11: 3,720 LOCv3.12: 3,720 LOCv3.13: 3,720 LOCv3.14: 3,720 LOCv3.15: 3,720 LOCv3.16: 3,720 LOCv3.17: 3,720 LOCv3.18: 3,720 LOCv3.19: 3,720 LOCv3.20: 3,720 LOCv3.21: 3,720 LOCv3.22: 3,720 LOCv3.23: 3,720 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
33%
Documented parameters
83%
Return-value docs
100%
References docs
20%

Topics

People

Julian Gehring

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GSRI")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GSRI version 2.60.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

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.

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