baySeq
Empirical Bayesian analysis of patterns of differential expression in count data
Bioconductor version: 3.24 · Package version: 2.47.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("baySeq")Details
| Maintainer | Samuel Granjeaud <samuel.granjeaud@inserm.fr> |
| Author | Thomas J. Hardcastle [aut], Samuel Granjeaud [cre] (ORCID: <https://orcid.org/0000-0001-9245-1535>) |
| License | GPL-3 |
| URL | https://github.com/samgg/baySeq |
| Bug Reports | https://github.com/samgg/baySeq/issues |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Bayesian, Coverage, DifferentialExpression, MultipleComparison, SAGE, Sequencing, Software |
| Package Short Url | https://bioconductor.org/packages/baySeq/ |
Citation
From within R, enter citation("baySeq"):
Thomas J. Hardcastle. baySeq: Empirical Bayesian analysis of patterns of differential expression in count data. doi:10.18129/B9.bioc.baySeq, R package version 2.47.0, https://bioconductor.org/packages/baySeq.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | baySeq_2.47.0.tar.gz |
| Windows binary (x86_64) | baySeq_2.47.0.zip |
| macOS binary (arm64) | baySeq_2.47.0.tgz |
| macOS binary (x86_64) | baySeq_2.47.0.tgz |
Dependencies
Depends: R (>= 2.3.0), methods
Imports: edgeR, GenomicRanges, abind, parallel, graphics, stats, utils
Suggests: BiocStyle, BiocGenerics