recipe bioconductor-dearseq

Differential Expression Analysis for RNA-seq data through a robust variance component test



GPL-2 | file LICENSE



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.

package bioconductor-dearseq

(downloads) docker_bioconductor-dearseq



Required By:


With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-dearseq

and update with:

conda update bioconductor-dearseq

or use the docker container:

docker pull<tag>

(see bioconductor-dearseq/tags for valid values for <tag>)

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