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
| Maintainer | Boris P. Hejblum <boris.hejblum@u-bordeaux.fr> |
| Author | Denis Agniel [aut], Boris P. Hejblum [aut, cre] (ORCID: <https://orcid.org/0000-0003-0646-452X>), Marine Gauthier [aut], Mélanie Huchon [ctb] |
| License | GPL-2 | file LICENSE |
| Bug Reports | https://github.com/borishejblum/dearseq/issues |
| Downloads rank | 330 |
| Source branch | RELEASE_3_23 |
| biocViews | BiomedicalInformatics, 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