bioconductor-dearseq
Differential Expression Analysis for RNA-seq data through a robust variance component test
Differential Expression Analysis for RNA-seq data through a robust variance component test
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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.
Summary
Differential Expression Analysis for RNA-seq data through a robust variance component test
Last Updated
Dec 14, 2024 at 15:48
License
GPL-2 | file LICENSE
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