hdeberg/limma: Linear Models for Microarray Data
Data analysis, linear models and differential expression for microarray data.
Getting started
Browse package contents
Package details |
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| 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], Mette Langaas [ctb], Egil Ferkingstad [ctb], Marcus Davy [ctb], Francois Pepin [ctb], Dongseok Choi [ctb] |
| Bioconductor views | 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 SystemsBiology TimeCourse Transcription Transcriptomics TwoChannel mRNAMicroarray |
| Maintainer | Gordon Smyth <smyth@wehi.edu.au> |
| License | GPL (>=2) |
| Version | 3.49.4 |
| URL | http://bioinf.wehi.edu.au/limma |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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