limma: Linear Models for Microarray Data
Version 3.34.1

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 Microarray MultipleComparison Normalization OneChannel Preprocessing ProprietaryPlatforms QualityControl RNASeq Regression TimeCourse Transcription TwoChannel mRNAMicroarray microRNAArray
MaintainerGordon Smyth <[email protected]>
LicenseGPL (>=2)
Version3.34.1
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")

Try the limma package in your browser

Any scripts or data that you put into this service are public.

limma documentation built on Nov. 17, 2017, 8:41 a.m.