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Bioconductor 3.22 Released

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APL

This is thereleased version of APL; for the devel version, seeAPL.

Association Plots

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DOI: 10.18129/B9.bioc.APL


Bioconductor version: Release (3.22)

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, entercitation("APL")):

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

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

browseVignettes("APL")
Analyzing data with APLHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDimensionReduction,GeneExpression,RNASeq,Sequencing,SingleCell,Software,StatisticalMethod
Version1.14.0
In Bioconductor sinceBioC 3.15 (R-4.2) (3.5 years)
LicenseGPL (>= 3)
DependsR (>= 4.4.0)
ImportsMatrix,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
SuggestsBiocStyle,knitr,rmarkdown,scRNAseq,scater,scran,sparseMatrixStats,testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageAPL_1.14.0.tar.gz
Windows Binary (x86_64) APL_1.14.0.zip (64-bit only)
macOS Binary (x86_64)APL_1.14.0.tgz
macOS Binary (arm64)APL_1.14.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/APL
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/APL
Bioc Package Browserhttps://code.bioconductor.org/browse/APL/
Package Short Urlhttps://bioconductor.org/packages/APL/
Package Downloads ReportDownload Stats

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