APL

DOI: 10.18129/B9.bioc.APL  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see APL.

Association Plots

Bioconductor version: 3.16

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.

Author: Elzbieta Gralinska [cre, aut], Clemens Kohl [aut], Martin Vingron [aut]

Maintainer: Elzbieta Gralinska <gralinska at molgen.mpg.de>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("APL")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("APL")

 

HTML	R Script	Analyzing data with APL
PDF		Reference Manual
Text		NEWS

Details

biocViews	DimensionReduction, GeneExpression, RNASeq, Sequencing, SingleCell, Software, StatisticalMethod
Version	1.2.0
In Bioconductor since	BioC 3.15 (R-4.2) (1 year)
License	GPL (>= 3)
Depends	R (>= 4.2)
Imports	reticulate, ggrepel, ggplot2, viridisLite, plotly, Seurat, SingleCellExperiment, magrittr, SummarizedExperiment, topGO, methods, stats, utils, org.Hs.eg.db, org.Mm.eg.db, rlang
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown, scRNAseq, scater, scran, testthat
SystemRequirements	python, pytorch, numpy
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	APL_1.2.0.tar.gz
Windows Binary	APL_1.2.0.zip
macOS Binary (x86_64)	APL_1.2.0.tgz
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/APL
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/APL
Bioc Package Browser	https://code.bioconductor.org/browse/APL/
Package Short Url	https://bioconductor.org/packages/APL/
Package Downloads Report	Download Stats