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

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: 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 Gauthier M, Agniel D, Thiébaut R & Hejblum BP (2019). dearseq: a variance component score test for RNA-Seq differential analysis that effectively controls the false discovery rate, *bioRxiv* 635714.

Package details

AuthorDenis Agniel [aut], Boris P. Hejblum [aut, cre], Marine Gauthier [aut]
Bioconductor views BiomedicalInformatics CellBiology DNASeq DifferentialExpression GeneExpression GeneSetEnrichment Genetics ImmunoOncology KEGG RNASeq Regression Sequencing SystemsBiology TimeCourse Transcription Transcriptomics
MaintainerBoris P. Hejblum <>
LicenseGPL-2 | file LICENSE
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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dearseq documentation built on Nov. 8, 2020, 5:49 p.m.