limma: Linear Models for Microarray Data
Version 3.36.5

Data analysis, linear models and differential expression for microarray data.

Package details

AuthorGordon 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]
Bioconductor views AlternativeSplicing BatchEffect Bayesian Clustering DataImport DifferentialExpression DifferentialSplicing ExonArray GeneExpression GeneSetEnrichment Genetics MicroRNAArray Microarray MultipleComparison Normalization OneChannel Preprocessing ProprietaryPlatforms QualityControl RNASeq Regression Sequencing TimeCourse Transcription TwoChannel mRNAMicroarray
Date of publication2018-09-20
MaintainerGordon Smyth <[email protected].edu.au>
LicenseGPL (>=2)
Version3.36.5
URL http://bioinf.wehi.edu.au/limma
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("limma")

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limma documentation built on Sept. 21, 2018, 6:43 p.m.