limma

This is the development version of limma; for the stable release version, see limma.

Linear Models for Microarray and Omics Data

Bioconductor version: Development (3.23)

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 <smyth at wehi.edu.au>

Citation (from within R, enter citation("limma")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("limma")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation


Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	AlternativeSplicing, BatchEffect, Bayesian, BiomedicalInformatics, CellBiology, Cheminformatics, Clustering, DataImport, DifferentialExpression, DifferentialSplicing, Epigenetics, ExonArray, FunctionalGenomics, GeneExpression, GeneSetEnrichment, Genetics, ImmunoOncology, Metabolomics, MicroRNAArray, Microarray, MultipleComparison, Normalization, OneChannel, Preprocessing, ProprietaryPlatforms, Proteomics, QualityControl, RNASeq, Regression, Sequencing, Software, SystemsBiology, TimeCourse, Transcription, Transcriptomics, TwoChannel, mRNAMicroarray
Version	3.65.7
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 20.5 years)
License	GPL (>=2)
Depends	R (>= 3.6.0)
Imports	grDevices, graphics, stats, utils, methods, statmod
System Requirements
URL	https://bioinf.wehi.edu.au/limma/

Suggests	BiasedUrn, ellipse, gplots, knitr, locfit, MASS, splines, affy, AnnotationDbi, Biobase, BiocStyle, GO.db, illuminaio, org.Hs.eg.db, vsn
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/limma
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/limma
Package Short Url	https://bioconductor.org/packages/limma/
Package Downloads Report	Download Stats