baySeq
Empirical Bayesian analysis of patterns of differential expression in count data
Bioconductor version: Release (3.19)
This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.
Author: Thomas J. Hardcastle [aut], Samuel Granjeaud [cre]
Maintainer: Samuel Granjeaud <samuel.granjeaud at inserm.fr>
citation("baySeq")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("baySeq")
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("baySeq")
Advanced baySeq analyses | R Script | |
baySeq | R Script | |
Reference Manual |
Details
biocViews | Bayesian, Coverage, DifferentialExpression, MultipleComparison, SAGE, Sequencing, Software |
Version | 2.38.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (15 years) |
License | GPL-3 |
Depends | R (>= 2.3.0), methods |
Imports | edgeR, GenomicRanges, abind, parallel, graphics, stats, utils |
System Requirements | |
URL | https://github.com/samgg/baySeq |
Bug Reports | https://github.com/samgg/baySeq/issues |
See More
Suggests | BiocStyle, BiocGenerics |
Linking To | |
Enhances | |
Depends On Me | clusterSeq, segmentSeq |
Imports Me | riboSeqR |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | baySeq_2.38.0.tar.gz |
Windows Binary | baySeq_2.38.0.zip |
macOS Binary (x86_64) | baySeq_2.38.0.tgz |
macOS Binary (arm64) | baySeq_2.38.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/baySeq |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/baySeq |
Bioc Package Browser | https://code.bioconductor.org/browse/baySeq/ |
Package Short Url | https://bioconductor.org/packages/baySeq/ |
Package Downloads Report | Download Stats |