dearseq
This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see dearseq.
Differential Expression Analysis for RNA-seq data through a robust variance component test
Bioconductor version: 3.13
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, ThiƩbaut R & Hejblum BP (2019). dearseq: a variance component score test for RNA-Seq differential analysis that effectively controls the false discovery rate, *bioRxiv* 635714.
Author: Denis Agniel [aut], Boris P. Hejblum [aut, cre], Marine Gauthier [aut]
Maintainer: Boris P. Hejblum <boris.hejblum at u-bordeaux.fr>
citation("dearseq")
):
Installation
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("dearseq")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("dearseq")
dearseqUserguide | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | BiomedicalInformatics, CellBiology, DNASeq, DifferentialExpression, GeneExpression, GeneSetEnrichment, Genetics, ImmunoOncology, KEGG, RNASeq, Regression, Sequencing, Software, SystemsBiology, TimeCourse, Transcription, Transcriptomics |
Version | 1.4.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (4 years) |
License | GPL-2 | file LICENSE |
Depends | R (>= 3.6.0) |
Imports | CompQuadForm, ggplot2, KernSmooth, matrixStats, methods, parallel, pbapply, stats, statmod |
System Requirements | |
URL | |
Bug Reports | https://github.com/borishejblum/dearseq/issues |
See More
Suggests | Biobase, BiocManager, BiocSet, edgeR, DESeq2, GEOquery, GSA, knitr, limma, readxl, rmarkdown, S4Vectors, SummarizedExperiment, testthat, covr |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | dearseq_1.4.0.tar.gz |
Windows Binary | dearseq_1.4.0.zip |
macOS 10.13 (High Sierra) | dearseq_1.4.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/dearseq |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/dearseq |
Bioc Package Browser | https://code.bioconductor.org/browse/dearseq/ |
Package Short Url | https://bioconductor.org/packages/dearseq/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.13 | Source Archive |