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APL

Bioc current

Association Plots

v1.16.0 · software · GPL (>= 3)

Release Lineage

Entered 3.15 · Apr 27, 2022

Current · Requires R 4.6

1.0 In 9 of 49 releases 3.23

Description

APL is a package developed for computation of Association Plots (AP), a method for visualization and analysis of single cell transcriptomics data. The main focus of APL is the identification of genes characteristic for individual clusters of cells from input data. The package performs correspondence analysis (CA) and allows to identify cluster-specific genes using Association Plots. Additionally, APL computes the cluster-specificity scores for all genes which allows to rank the genes by their specificity for a selected cell cluster of interest.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

30 14 exported

Complexity

8.7 avg / 34 max

Call network

30 nodes / 38 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

8,785

Files

81

Compiled share

0%

Has compiled src

No

Language breakdown

R 5,196 (59.1%)Tests 544 (6.2%)Docs 2,581 (29.4%)Vignettes 464 (5.3%)

API

Exported functions

21

Internal functions

16

Recent export changes

v3.20+1 run_APL

Testing & CI

Has tests

Yes

Test-to-code ratio

0.10

testthat edition

3

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

95.2%

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

4.4.0

System requirements

C++ standard

License

GPL (>= 3)

License flags

SPDX valid, OSI approved

History

Versions

9

First release

2022-10-15

Latest release

2026-04-28

Avg cadence

178 days

Cold removal rate

Dep drift

5

LOC over versions

v3.15: 7,493 LOCv3.16: 7,493 LOCv3.17: 7,493 LOCv3.18: 7,497 LOCv3.19: 7,975 LOCv3.20: 8,785 LOCv3.21: 8,785 LOCv3.22: 8,785 LOCv3.23: 8,785 LOC

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

Documentation

Documentation
READMEYes · 300 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
27%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("APL")
Kohl, C., Gralinska, E., & Vingron, M. (2026). APL: Association Plots (Version 1.16.0) [Computer software]. https://bioconductor.org/packages/APL

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 APL version 1.16.0 [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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