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anglemania

Bioc current

Feature Extraction for scRNA-seq Dataset Integration

v1.2.0 · Package record · 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.

Advisories

None published for Bioconductor

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

4,091

Files

32

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 495 (12.1%)

API

Exported functions

23

Internal functions

5

Recent export changes

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

Testing

Has tests

Yes

Test-to-code ratio

0.36

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

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: 4,091 LOCv3.23: 4,091 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 · 196 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileNo
Help pages
9 (4 internal)
Examples that run
100%9 run in a plain check
Exported functions with examples
100%
Documented parameters
93%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/bimsbbioinfo/anglemania on 2026-10-22.

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 (2)

GitHub Pages site last deployed 2025-10-23 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting
How this is detected·Detection ruleset v4 (2026-10-20)

Topics

Maintainer
Aaron Kollotzek

Available on

CRANr2uBioconductorautoCRANCOPR

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 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 anglemania version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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