Release Lineage
Entered 3.15 · Apr 27, 2022
Current · Requires R 4.6
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.
Code
Structure
Lines of code
8,785
Files
81
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
21
Internal functions
16
Recent export changes
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
Return-value doc rate
100%
\dontrun example ratio
0%
Roxygen coverage
95.2%
Has pkgdown
Yes
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
4.4.0
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
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Topics
People
- Clemens Kohl maintainer author
- Elzbieta Gralinska author
- Martin Vingron author