Skip to content

markeR

Bioc current

An R Toolkit for Evaluating Gene Signatures as Phenotypic Markers

v1.2.0 · Package record · 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.

Advisories

None published for Bioconductor

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.

Loading call graph…

Lowest coverage

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

Code

Structure

Lines of code

15,959

Files

118

Compiled share

0%

Has compiled src

No

Language breakdown

R 8,786 (55.1%)Tests 1,986 (12.4%)Docs 4,657 (29.2%)Vignettes 530 (3.3%)

API

Exported functions

20

Internal functions

30

Recent export changes

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

Testing

Has tests

Yes

Test-to-code ratio

0.23

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

4.5.0

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: 15,839 LOCv3.23: 15,959 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 · 1,241 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileNoWebsiteYes · pkgdown
Help pages
53 (29 internal)includes a package overview page
Examples that run
67%20 run in a plain check · 10 never run
Exported functions with examples
100%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
6%

Repository practices

Upstream repositoryBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/diseasetranscriptomicslab/marker on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-07-08 · The repository has a site deploy workflow

pkgdown site last built 2026-07-08

Coverage (1)
Coverage reporting (Codecov)
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 3
NameClassSizeAlso in
counts_exampledata.frame10,373 × 39No other package
genesets_examplelist3 elementsNo other package
metadata_exampledata.frame39 × 6No other package

All of markeR's data objects

Topics

Maintainer
Rita Martins-Silva

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("markeR")
Martins-Silva, R., Barbosa-Morais, N. L., & Kaizeler, A. (2026). markeR: An R Toolkit for Evaluating Gene Signatures as Phenotypic Markers (Version 1.2.0) [Computer software]. https://bioconductor.org/packages/markeR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 markeR version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy