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anglemania

Bioc current

Feature Extraction for scRNA-seq Dataset Integration

v1.2.0 · software · GPL (>= 3)

Release Lineage

Entered 3.22 · Oct 30, 2025

Current · Requires R 4.6

1.0 In 2 of 49 releases 3.23

Description

anglemania extracts genes from multi-batch scRNA-seq experiments for downstream dataset integration. It shows improvement over the conventional usage of highly-variable genes for many integration tasks. We leverage gene-gene correlations that are stable across batches to identify biologically informative genes which are less affected by batch effects. Currently, its main use is for single-cell RNA-seq dataset integration, but it can be applied for other multi-batch downstream analyses such as NMF.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

33 23 exported

Complexity

2.3 avg / 8 max

Call network

33 nodes / 32 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

4,093

Files

40

Compiled share

4%

Has compiled src

Yes

Language breakdown

R 1,878 (45.9%)C/C++/src 164 (4%)Tests 676 (16.5%)Docs 878 (21.5%)Vignettes 497 (12.1%)

API

Exported functions

23

Internal functions

5

Recent export changes

v3.22+23 CutBySize, add_unique_batch_key, anglemania +20 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.36

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

GPL (>= 3)

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: 4,093 LOCv3.23: 4,093 LOC

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

Documentation

Documentation
READMEYes · 196 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
93%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("anglemania")
Kollotzek, A., SFB1588, Akalin, A., Baranovskii, A., & Franke, V. (2026). anglemania: Feature Extraction for scRNA-seq Dataset Integration (Version 1.2.0) [Computer software]. https://bioconductor.org/packages/anglemania

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 anglemania version 1.2.0 [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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