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pairedGSEA

Bioc current

Paired DGE and DGS analysis for gene set enrichment analysis

v1.12.1 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.17 · Apr 26, 2023

Current · Requires R 4.6

1.0 In 7 of 49 releases 3.23

Description

pairedGSEA makes it simple to run a paired Differential Gene Expression (DGE) and Differencital Gene Splicing (DGS) analysis. The package allows you to store intermediate results for further investiation, if desired. pairedGSEA comes with a wrapper function for running an Over-Representation Analysis (ORA) and functionalities for plotting the results.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

31 4 exported

Complexity

4.2 avg / 23 max

Call network

31 nodes / 37 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

3,359

Files

36

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,680 (50%)Tests 824 (24.5%)Docs 407 (12.1%)Vignettes 448 (13.3%)

API

Exported functions

4

Internal functions

27

Testing

Has tests

Yes

Test-to-code ratio

0.49

testthat edition

3

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

4.4.0

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

7

First release

2023-04-25

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

2

LOC over versions

v3.17: 3,223 LOCv3.18: 3,331 LOCv3.19: 3,331 LOCv3.20: 3,331 LOCv3.21: 3,359 LOCv3.22: 3,359 LOCv3.23: 3,359 LOC

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 239 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
8
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/shdam/pairedgsea on 2026-10-22.

Docs source (1)
README.Rmd
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 4
NameClassSizeAlso in
example_diff_result–––
example_gene_setslist77 elementsNo other package
example_ora_results–––
example_se–––

All of pairedGSEA's data objects

Topics

Maintainer
Søren Helweg Dam

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("pairedGSEA")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1186/s12915-023-01724-w.

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 pairedGSEA version 1.12.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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