rmRNAseq: RNA-Seq Analysis for Repeated-Measures Data

A differential expression analysis method for RNA-seq data from repeated-measures design using general linear model framework and parametric bootstrap inference. The method accounts for the dependence of gene expression levels due to the repeated-measures through continuous autoregressive correlation structure. The method is described in Chapter 4 of Nguyen (2018) <https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=7433&context=etd>.

Getting started

Package details

AuthorYet Nguyen [aut, cre], Dan Nettleton [aut], Charity Gordon Law Smyth [ctb] (The authors of limma::voom, which was modified slightly leading to my_voom), Agata Michna [ctb] (The author of splineTimeR::splineDiffExprs, which was modified slightly leading to my_splineDiffExprs)
MaintainerYet Nguyen <tienyettoan@gmail.com>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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rmRNAseq documentation built on Nov. 8, 2019, 5:06 p.m.