Package: limma Version: 3.62.2 Date: 2025-01-09 Title: Linear Models for Microarray and Omics Data Description: Data analysis, linear models and differential expression for omics 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], Goknur Giner [ctb], Mette Langaas [ctb], Egil Ferkingstad [ctb], Marcus Davy [ctb], Francois Pepin [ctb], Dongseok Choi [ctb], Charity Law [ctb], Mengbo Li [ctb], Lizhong Chen [ctb] Maintainer: Gordon Smyth 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_20 git_last_commit: 5d5c76a git_last_commit_date: 2025-01-09 Repository: Bioconductor 3.20 Date/Publication: 2025-01-09 NeedsCompilation: yes Packaged: 2025-01-09 23:01:52 UTC; biocbuild Built: R 4.4.2; x86_64-conda-linux-gnu; 2025-02-03 15:34:51 UTC; unix