baySeq
This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see baySeq.
Empirical Bayesian analysis of patterns of differential expression in count data
Bioconductor version: 3.17
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
Maintainer: Thomas J. Hardcastle <tjh48 at cam.ac.uk>
citation("baySeq")):
Installation
To install this package, start R (version "4.3") 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
| Reference Manual |
Details
| biocViews | DifferentialExpression, MultipleComparison, SAGE, Sequencing, Software |
| Version | 2.34.0 |
| In Bioconductor since | BioC 2.5 (R-2.10) (14.5 years) |
| License | GPL-3 |
| Depends | R (>= 2.3.0), methods, GenomicRanges, abind, parallel |
| Imports | edgeR |
| System Requirements | |
| URL |
See More
| Suggests | BiocStyle, BiocGenerics |
| Linking To | |
| Enhances | |
| Depends On Me | clusterSeq, segmentSeq, TCC |
| Imports Me | metaseqR2, riboSeqR, srnadiff |
| Suggests Me | compcodeR |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/baySeq |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/baySeq |
| Package Short Url | https://bioconductor.org/packages/baySeq/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.17 | Source Archive |