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APL

This is the development version of APL; for the stable release version, see APL.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15

Association Plots


Bioconductor version: Development (3.24)

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

Maintainer: Clemens Kohl <kohl.clemens at gmail.com>

Citation (from within R, enter citation("APL")):

Clemens Kohl, Elzbieta Gralinska, Martin Vingron. APL: Association Plots. doi:10.18129/B9.bioc.APL, R package version 1.17.0, https://bioconductor.org/packages/APL.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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")
Analyzing data with APL HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews DimensionReduction, GeneExpression, RNASeq, Sequencing, SingleCell, Software, StatisticalMethod
Version1.17.0
In Bioconductor sinceBioC 3.15 (R-4.2) (4.5 years)
License GPL (>= 3)
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
System Requirements
URLhttps://vingronlab.github.io/APL/
See More
Suggests BiocStyle, knitr, rmarkdown, scRNAseq, scater, scran, sparseMatrixStats, testthat
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Package Archives

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

Source Package APL_1.17.0.tar.gz
Windows Binary (x86_64) APL_1.17.0.zip
macOS Binary (big-sur-x86_64) APL_1.17.0.tgz
macOS Binary (sonoma-arm64) APL_1.17.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/APL
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/APL
Package Short Url https://bioconductor.org/packages/APL/
Package Downloads ReportDownload Stats