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markeR

Bioc current

An R Toolkit for Evaluating Gene Signatures as Phenotypic Markers

v1.2.0 · software · Artistic-2.0

Release Lineage

Entered 3.22 · Oct 30, 2025

Current · Requires R 4.6

1.0 In 2 of 49 releases 3.23

Description

markeR is an R package that provides a modular and extensible framework for the systematic evaluation of gene sets as phenotypic markers using transcriptomic data. The package is designed to support both quantitative analyses and visual exploration of gene set behaviour across experimental and clinical phenotypes. It implements multiple methods, including score-based and enrichment approaches, and also allows the exploration of expression behaviour of individual genes. In addition, users can assess the similarity of their own gene sets against established collections (e.g., those from MSigDB), facilitating biological interpretation.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

50 20 exported

Complexity

11.7 avg / 66 max

Call network

50 nodes / 72 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

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Lowest coverage

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

Code

Structure

Lines of code

17,106

Files

152

Compiled share

0%

Has compiled src

No

Language breakdown

R 8,786 (51.4%)Tests 1,986 (11.6%)Docs 4,657 (27.2%)Vignettes 1,677 (9.8%)

API

Exported functions

20

Internal functions

30

Recent export changes

v3.22+20 AUC_Scores, CalculateScores, CohenD_IndividualGenes +17 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.23

testthat edition

3

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

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

4.5.0

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

2

First release

2025-10-29

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

Dep drift

0

LOC over versions

v3.22: 16,986 LOCv3.23: 17,106 LOC

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

Documentation

Documentation
READMEYes · 1,241 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
67%
Documented parameters
97%
Return-value docs
100%
References docs
6%

Topics

People

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