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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.

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

Return-value doc rate

100%

\dontrun example ratio

0%

Roxygen coverage

100%

Has pkgdown

No

NEWS present

Yes

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.

Topics

People