Package: limma
Version: 3.58.1
Date: 2023-10-31
Title: Linear Models for Microarray Data
Description: Data analysis, linear models and differential expression for microarray data.
Author: Gordon Smyth [cre,aut], Yifang Hu [ctb], Matthew Ritchie [ctb], Jeremy Silver [ctb], James Wettenhall [ctb], Davis McCarthy [ctb], Di Wu [ctb], Wei Shi [ctb], Belinda Phipson [ctb], Aaron Lun [ctb], Natalie Thorne [ctb], Alicia Oshlack [ctb], Carolyn de Graaf [ctb], Yunshun Chen [ctb], Mette Langaas [ctb], Egil Ferkingstad [ctb], Marcus Davy [ctb], Francois Pepin [ctb], Dongseok Choi [ctb]
Maintainer: Gordon Smyth <smyth@wehi.edu.au>
License: GPL (>=2)
Depends: R (>= 3.6.0)
Imports: grDevices, graphics, stats, utils, methods, statmod
Suggests: BiasedUrn, ellipse, gplots, knitr, locfit, MASS, splines,
        affy, AnnotationDbi, Biobase, BiocStyle, GO.db, illuminaio,
        org.Hs.eg.db, vsn
VignetteBuilder: knitr
URL: https://bioinf.wehi.edu.au/limma/
biocViews: ExonArray, GeneExpression, Transcription,
        AlternativeSplicing, DifferentialExpression,
        DifferentialSplicing, GeneSetEnrichment, DataImport, Bayesian,
        Clustering, Regression, TimeCourse, Microarray, MicroRNAArray,
        mRNAMicroarray, OneChannel, ProprietaryPlatforms, TwoChannel,
        Sequencing, RNASeq, BatchEffect, MultipleComparison,
        Normalization, Preprocessing, QualityControl,
        BiomedicalInformatics, CellBiology, Cheminformatics,
        Epigenetics, FunctionalGenomics, Genetics, ImmunoOncology,
        Metabolomics, Proteomics, SystemsBiology, Transcriptomics
git_url: https://git.bioconductor.org/packages/limma
git_branch: RELEASE_3_18
git_last_commit: 27e81a0
git_last_commit_date: 2023-10-30
Date/Publication: 2023-10-31
NeedsCompilation: yes
Packaged: 2023-10-31 21:34:17 UTC; biocbuild
Built: R 4.3.3; aarch64-apple-darwin23.2.0; 2024-03-22 18:14:15 UTC; unix
