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limma: Linear Models for Microarray Data - Bioconductor

Package limma '. February 15, 2022. Version Date 2021-10-24. Title Linear Models for Microarray Data Description Data analysis, Linear Models and differential expression for Microarray data. Author Gordon Smyth [cre,aut], Yifang Hu [ctb], Matthew Ritchie [ctb], Jeremy Sil- ver [ctb], James Wettenhall [ctb], Davis McCarthy [ctb], Di Wu [ctb], Wei Shi [ctb], Be- linda Phipson [ctb], Aaron Lun [ctb], Natalie Thorne [ctb], Alicia Oshlack [ctb], Car- olyn de Graaf [ctb], Yunshun Chen [ctb], Mette Langaas [ctb], Egil Ferkingstad [ctb], Mar- cus Davy [ctb], Francois Pepin [ctb], Dongseok Choi [ctb]. Maintainer Gordon Smyth License GPL (>=2).

LIMMA is a library for the analysis of gene expression microarray data, especially the use of linear models for analysing designed experiments and the assessment of differential expression. LIMMA provides the ability to analyse comparisons between many RNA targets simultaneously in arbitrary complicated designed experiments.

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