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 |
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Author | Denis 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 |
Maintainer | Boris P. Hejblum <boris.hejblum@u-bordeaux.fr> |
License | GPL-2 | file LICENSE |
Version | 1.2.0 |
Package repository | View on Bioconductor |
Installation |
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