limma Linear Models for Microarray and RNA-Seq Data …
limma : Linear Models for Microarray and RNA-Seq DataUser s GuideGordon K. Smyth, Matthew Ritchie, Natalie Thorne,James Wettenhall, Wei Shi and Yifang HuBioinformatics Division, The Walter and Eliza Hall Instituteof Medical Research, Melbourne, AustraliaFirst edition 2 December 2002Last revised 14 November 2021This free open-source software implements academic researchby the authors and co-workers. If you use it, please supportthe project by citing the appropriate journal articles listed inSection Introduction52 Citinglimma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . How to get help . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .93 Quick A brief introduction to R.
Chapter 1 Introduction Limma is a package for the analysis of gene expression data arising from microarray or RNA-seq technologies [32]. A core capability is the use of linear models to assess di erential expression in
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