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EnrichedHeatmap

Bioc current

Making Enriched Heatmaps

v1.42.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.2 · Oct 14, 2015

Current · Requires R 4.6

1.0 In 22 of 49 releases 3.23

Description

Enriched heatmap is a special type of heatmap which visualizes the enrichment of genomic signals on specific target regions. Here we implement enriched heatmap by ComplexHeatmap package. Since this type of heatmap is just a normal heatmap but with some special settings, with the functionality of ComplexHeatmap, it would be much easier to customize the heatmap as well as concatenating to a list of heatmaps to show correspondance between different data sources.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

28 16 exported

Complexity

13.3 avg / 83 max

Call network

28 nodes / 19 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

5,541

Files

188

Compiled share

1.3%

Has compiled src

Yes

Language breakdown

R 2,089 (37.7%)C/C++/src 70 (1.3%)Tests 74 (1.3%)Docs 727 (13.1%)Vignettes 2,581 (46.6%)

API

Exported functions

16

Internal functions

8

Recent export changes

v3.9+1 failed_rows  −2 +.AdditiveUnit, EnrichedHeatmapList
v3.8+1 as.normalizedMatrix

Testing & CI

Has tests

Yes

Test-to-code ratio

0.04

testthat edition

CI present

Yes

CI type

["github-actions","travis"]

PR gated

Yes

Docs

Roxygen coverage

0%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

33.3%

Unsafe pattern score

0

Dep constraint coverage

16.7%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.0.0

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

22

First release

2015-10-13

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

4

LOC over versions

v3.2: 2,409 LOCv3.3: 3,185 LOCv3.4: 3,256 LOCv3.5: 3,338 LOCv3.6: 5,977 LOCv3.7: 5,977 LOCv3.8: 6,157 LOCv3.9: 6,039 LOCv3.10: 6,030 LOCv3.11: 6,033 LOCv3.12: 6,033 LOCv3.13: 6,034 LOCv3.14: 6,071 LOCv3.15: 6,072 LOCv3.16: 6,068 LOCv3.17: 6,069 LOCv3.18: 6,069 LOCv3.19: 6,069 LOCv3.20: 6,069 LOCv3.21: 6,069 LOCv3.22: 6,069 LOCv3.23: 5,541 LOC

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

Documentation

Documentation
READMEYes · 197 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
not tracked
Documented parameters
not tracked
Return-value docs
not tracked
References docs
not tracked

Topics

Depended on by (5)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EnrichedHeatmap")
Gu, Z. (2026). EnrichedHeatmap: Making Enriched Heatmaps (Version 1.42.0) [Computer software]. https://bioconductor.org/packages/EnrichedHeatmap

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 EnrichedHeatmap version 1.42.0 [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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