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Empirical Analysis of Digital Gene Expression Data in R

Installation

To install this package, run one of the following:

Conda
$conda install bioconda::bioconductor-edger

Usage Tracking

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Description

Differential expression analysis of RNA-seq expression profiles with biological replication. Implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models and quasi-likelihood tests. As well as RNA-seq, it be applied to differential signal analysis of other types of genomic data that produce read counts, including ChIP-seq, ATAC-seq, Bisulfite-seq, SAGE and CAGE.

About

Summary

Empirical Analysis of Digital Gene Expression Data in R

Last Updated

Dec 14, 2024 at 16:10

License

GPL (>=2)

Total Downloads

550.3K

Supported Platforms

linux-64
macOS-64
linux-aarch64
macOS-arm64