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[ Source: r-bioc-edger  ]

Package: r-bioc-edger (4.2.2+dfsg-1)

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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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Architecture Package Size Installed Size Files
riscv64 1,153.3 kB1,459.0 kB [list of files]