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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 2002 Last revised 14 November 2021 This 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 .. SamplelimmaSession.

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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Package ‘wateRmelon’ - Bioconductor - Home

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Package ‘wateRmelon’ November 17, 2018 Type Package Title Illumina 450 methylation array normalization and metrics Version 1.26.0 Author Leonard C Schalkwyk, Ruth Pidsley, Chloe CY Wong, with functions con-

  Packages, Watermelon, Package watermelon

limma Linear Models for Microarray and RNA-Seq Data User’s ...

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Functions for reading and pre-processing expression data from Illumina BeadChips were intro-duced in limma 3.0.0. See the case study in Section 17.3 for an example of these. Limma can also be used in conjunction with the vst or beadarray packages for pre-processing Illumina data.

  Illumina

DESeq2: Differential gene expression analysis based on the ...

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Package ‘DESeq2’ January 20, 2022 Type Package Title Differential gene expression analysis based on the negative binomial distribution Version 1.34.0

  Based, Analysis, Distribution, Differential, Gene, Expression, Negative, Binomial, Differential gene expression analysis based, Differential gene expression analysis based on the negative binomial distribution

edgeR: differential analysis of sequence read count data ...

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2.15Gene set testing.....25 2.16Clustering, heatmaps etc ... MD, and Smyth, GK (2008). Small sample estimation of negative binomial dis-persion,withapplicationstoSAGEdata. Biostatistics 9,321–332. ... All other questions or problems concerning edgeR should be …

  Analysis, Question, Differential, Sequence, Read, Edger, Differential analysis of sequence read

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