This is the released version of dearseq; for the devel version, see dearseq.
Differential Expression Analysis for RNA-seq data through a robust variance component testBioconductor version: Release (3.21)
Differential Expression Analysis RNA-seq data with variance component score test accounting for data heteroscedasticity through precision weights. Perform both gene-wise and gene set analyses, and can deal with repeated or longitudinal data. Methods are detailed in: i) Agniel D & Hejblum BP (2017) Variance component score test for time-course gene set analysis of longitudinal RNA-seq data, Biostatistics, 18(4):589-604 ; and ii) Gauthier M, Agniel D, Thiébaut R & Hejblum BP (2020) dearseq: a variance component score test for RNA-Seq differential analysis that effectively controls the false discovery rate, NAR Genomics and Bioinformatics, 2(4):lqaa093.
Author: Denis Agniel [aut], Boris P. Hejblum [aut, cre] ORCID: 0000-0003-0646-452X , Marine Gauthier [aut], Mélanie Huchon [ctb]
Maintainer: Boris P. Hejblum <boris.hejblum at u-bordeaux.fr>
Citation (from within R, entercitation("dearseq")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("dearseq")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("dearseq")Follow Installation instructions to use this package in your R session.
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