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dearseq

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

Bioconductor version: 3.23 · Package version: 1.24.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("dearseq")

Details

MaintainerBoris P. Hejblum <boris.hejblum@u-bordeaux.fr>
AuthorDenis Agniel [aut], Boris P. Hejblum [aut, cre] (ORCID: <https://orcid.org/0000-0003-0646-452X>), Marine Gauthier [aut], Mélanie Huchon [ctb]
LicenseGPL-2 | file LICENSE
Bug Reportshttps://github.com/borishejblum/dearseq/issues
Downloads rank330
Source branchRELEASE_3_23
biocViewsBiomedicalInformatics, CellBiology, DNASeq, DifferentialExpression, GeneExpression, GeneSetEnrichment, Genetics, ImmunoOncology, KEGG, RNASeq, Regression, Sequencing, Software, SystemsBiology, TimeCourse, Transcription, Transcriptomics

Documentation

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Dependencies

Depends: R (>= 3.6.0)

Imports: CompQuadForm, dplyr, ggplot2, KernSmooth, magrittr, matrixStats, methods, patchwork, parallel, pbapply, reshape2, rlang, scattermore, stats, statmod, survey, tibble, viridisLite

Suggests: Biobase, BiocManager, BiocSet, edgeR, DESeq2, GEOquery, GSA, knitr, limma, readxl, rmarkdown, S4Vectors, SummarizedExperiment, testthat, covr

Reverse dependencies

Imports Me (1): benchdamic

Suggests Me (2): GeoTcgaData, TcGSA