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dominatR

Bioc current

Feature Dominance-based R Package for Genomic Data

v1.0.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.23 · Apr 29, 2026

Current · Requires R 4.6

1.0 In 1 of 49 releases 3.23

Description

dominatR is an R package for quantifying and visualizing feature dominance in datasets. dominatR applies concepts drawn from physics such as center of mass and shannon's entropy to effectively visualize features (e.g. genes) that are present within a specific context or condition. The package integrates, dataframes, matrices and SummerizedExperiment objects and is able to perform common genomic normalization methods. The key aspect is the generation of plots that serve to highlight context-relevant feature dominance.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

20 13 exported

Complexity

6.3 avg / 15 max

Call network

20 nodes / 37 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

7,679

Files

66

Compiled share

0%

Has compiled src

No

Language breakdown

R 3,247 (42.3%)Tests 927 (12.1%)Docs 1,899 (24.7%)Vignettes 1,606 (20.9%)

API

Exported functions

12

Internal functions

7

Recent export changes

v3.23+12 Qentropy, centmass, cpm_normalization +9 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.29

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

0%

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

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

1

First release

2026-04-28

Latest release

2026-04-28

Avg cadence

Cold removal rate

Dep drift

0

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

Documentation

Documentation
READMEYes · 605 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
93%
Return-value docs
100%
References docs
0%

Topics

People

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