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>.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("rmRNAseq")

0.1.0 by Yet Nguyen, a year ago


Browse source code at https://github.com/cran/rmRNAseq


Authors: Yet 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)


Documentation:   PDF Manual  


GPL (>= 2) license


Imports AUC, Biobase, DESeq2, edgeR, graphics, limma, MASS, Matrix, methods, nlme, parallel, reshape, rlang, splines, splineTimeR, statmod, stats

Suggests knitr, rmarkdown, testthat


See at CRAN