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gep2pep

Bioc current

Creation and Analysis of Pathway Expression Profiles (PEPs)

v1.32.0 · software · GPL-3

Release Lineage

Entered 3.7 · May 1, 2018

Current · Requires R 4.6

1.0 In 17 of 49 releases 3.23

Description

Pathway Expression Profiles (PEPs) are based on the expression of pathways (defined as sets of genes) as opposed to individual genes. This package converts gene expression profiles to PEPs and performs enrichment analysis of both pathways and experimental conditions, such as "drug set enrichment analysis" and "gene2drug" drug discovery analysis respectively.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

56 25 exported

Complexity

4.9 avg / 22 max

Call network

56 nodes / 84 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

5,625

Files

42

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,838 (50.5%)Tests 860 (15.3%)Docs 1,436 (25.5%)Vignettes 491 (8.7%)

API

Exported functions

25

Internal functions

31

Recent export changes

v3.9+1 addSingleGeneSets
v3.8+4 clearCache, createMergedRepository, importFromRawMode +1 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.30

testthat edition

CI present

Yes

CI type

["travis"]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

9.1%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

17

First release

2018-04-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

3

LOC over versions

v3.7: 3,709 LOCv3.8: 5,225 LOCv3.9: 5,625 LOCv3.10: 5,625 LOCv3.11: 5,625 LOCv3.12: 5,625 LOCv3.13: 5,625 LOCv3.14: 5,625 LOCv3.15: 5,625 LOCv3.16: 5,625 LOCv3.17: 5,625 LOCv3.18: 5,625 LOCv3.19: 5,625 LOCv3.20: 5,625 LOCv3.21: 5,625 LOCv3.22: 5,625 LOCv3.23: 5,625 LOC

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

Documentation

Documentation
READMEYes · 335 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
15%

Topics

People

Francesco Napolitano

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gep2pep")

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 gep2pep version 1.32.0 [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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