Bioc2026 Registration Open!

APL

Association Plots

Bioconductor version: 3.24 · Package version: 1.17.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("APL")

Details

MaintainerClemens Kohl <kohl.clemens@gmail.com>
AuthorClemens Kohl [cre, aut], Elzbieta Gralinska [aut], Martin Vingron [aut]
LicenseGPL (>= 3)
URLhttps://vingronlab.github.io/APL/
Downloads rank419
Source branchdevel
biocViewsDimensionReduction, GeneExpression, RNASeq, Sequencing, SingleCell, Software, StatisticalMethod

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageAPL_1.17.0.tar.gz
Windows binary (x86_64)APL_1.17.0.zip
macOS binary (arm64)APL_1.17.0.tgz
macOS binary (x86_64)APL_1.17.0.tgz
Dependencies

Depends: R (>= 4.4.0)

Imports: Matrix, RSpectra, ggrepel, ggplot2, viridisLite, plotly, SeuratObject, SingleCellExperiment, magrittr, SummarizedExperiment, topGO, methods, stats, utils, org.Hs.eg.db, org.Mm.eg.db, rlang

Suggests: BiocStyle, knitr, rmarkdown, scRNAseq, scater, scran, sparseMatrixStats, testthat