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 (3.24)
Data analysis, linear models and differential expression for omics data.
Author: Gordon Smyth [cre, aut]
, Lizhong Chen [aut]
, Matthew Ritchie [ctb], Belinda Phipson [ctb], Di Wu [ctb], Yifang Hu [ctb], Charity Law [ctb], Wei Shi [ctb], James Wettenhall [ctb], Yunshun Chen [ctb], Mengbo Li [ctb], Jeremy Silver [ctb], Aaron Lun [ctb], Davis McCarthy [ctb], Natalie Thorne [ctb], Carolyn de Graaf [ctb], Goknur Giner [ctb], Alicia Oshlack [ctb], Marcus Davy [ctb], Mette Langaas [ctb], Egil Ferkingstad [ctb], Francois Pepin [ctb], Dongseok Choi [ctb]
Maintainer: Gordon Smyth <smyth at wehi.edu.au>
citation("limma")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("limma")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("limma")
| A brief introduction to limma | HTML | R Script |
| limma User's Guide | ||
| Reference Manual | ||
| NEWS | Text |
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 | 3.99.2 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 21.5 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/ |
See More
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | limma_3.99.2.tar.gz |
| Windows Binary (x86_64) | limma_3.99.2.zip (64-bit only) |
| macOS Binary (big-sur-x86_64) | limma_3.99.2.tgz |
| macOS Binary (sonoma-arm64) | limma_3.99.2.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/limma |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/limma |
| Bioc Package Browser | https://code.bioconductor.org/browse/limma/ |
| Package Short Url | https://bioconductor.org/packages/limma/ |
| Package Downloads Report | Download Stats |