Package: r-bioc-edger (4.4.2+dfsg-1)

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Homepage [bioconductor.org]

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Empirical analysis of digital gene expression data in R

Bioconductor package for differential expression analysis of whole transcriptome sequencing (RNA-seq) and digital gene expression profiles with biological replication. It uses empirical Bayes estimation and exact tests based on the negative binomial distribution. It is also useful for differential signal analysis with other types of genome-scale count data.

Tags: Field: Biology, Bioinformatics, Implemented in: implemented-in::r, interface::commandline, Role: Program

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Download r-bioc-edger

Download for all available architectures
Architecture	Package Size	Installed Size	Files
amd64	1,091.9 kB	1,315.0 kB	[list of files]
arm64	1,089.2 kB	1,331.0 kB	[list of files]
ppc64el	1,097.0 kB	1,331.0 kB	[list of files]
riscv64	1,092.7 kB	1,295.0 kB	[list of files]
s390x	1,095.5 kB	1,319.0 kB	[list of files]