Package: edgeR
Version: 4.9.1
Date: 2025-12-07
Title: Empirical Analysis of Digital Gene Expression Data in R
Description: Differential expression analysis of sequence count data. Implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models, quasi-likelihood, and gene set enrichment. Can perform differential analyses of any type of omics data that produces read counts, including RNA-seq, ChIP-seq, ATAC-seq, Bisulfite-seq, SAGE, CAGE, metabolomics, or proteomics spectral counts. RNA-seq analyses can be conducted at the gene or isoform level, and tests can be conducted for differential exon or transcript usage.
Author: Yunshun Chen, Lizhong Chen, Aaron TL Lun, Davis J McCarthy, Pedro Baldoni, Matthew E Ritchie, Belinda Phipson, Yifang Hu, Xiaobei Zhou, Mark D Robinson, Gordon K Smyth
Maintainer: Yunshun Chen <yuchen@wehi.edu.au>, Gordon Smyth <smyth@wehi.edu.au>,
            Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>,
            Mark Robinson <mark.robinson@imls.uzh.ch>
License: GPL (>=2)
Depends: R (>= 3.6.0), limma (>= 3.63.6)
Imports: methods, graphics, stats, utils, locfit
Suggests: arrow, jsonlite, knitr, Matrix, readr, rhdf5, SeuratObject, splines,
          AnnotationDbi, Biobase, BiocStyle, org.Hs.eg.db, SummarizedExperiment
VignetteBuilder: knitr
URL: https://bioinf.wehi.edu.au/edgeR/, https://bioconductor.org/packages/edgeR
biocViews: AlternativeSplicing, BatchEffect, Bayesian, BiomedicalInformatics, 
           CellBiology, ChIPSeq, Clustering, Coverage, 
           DifferentialExpression, DifferentialMethylation, DifferentialSplicing, DNAMethylation, 
           Epigenetics, FunctionalGenomics, GeneExpression, GeneSetEnrichment, Genetics, Genetics,
           ImmunoOncology, MultipleComparison, Normalization, Pathways, Proteomics,
           QualityControl, Regression, RNASeq, SAGE, Sequencing, 
           SingleCell, SystemsBiology, TimeCourse, Transcription, Transcriptomics
NeedsCompilation: yes
git_url: https://git.bioconductor.org/packages/edgeR
git_branch: devel
git_last_commit: 4663f3f
git_last_commit_date: 2025-12-07
Repository: Bioconductor 3.23
