Package: baySeq
Type: Package
Title: Empirical Bayesian analysis of patterns of differential
        expression in count data
Version: 2.31.0
Date: 2012-12-20
Depends: R (>= 2.3.0), methods, GenomicRanges, abind, parallel
Imports: edgeR
Suggests: BiocStyle, BiocGenerics
Author: Thomas J. Hardcastle
Maintainer: Thomas J. Hardcastle <tjh48@cam.ac.uk>
Description: 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.
License: GPL-3
LazyLoad: yes
biocViews: Sequencing, DifferentialExpression, MultipleComparison, SAGE
git_url: https://git.bioconductor.org/packages/baySeq
git_branch: master
git_last_commit: c0f1a83
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: no
Packaged: 2022-04-26 19:56:26 UTC; biocbuild
Built: R 4.2.2; ; 2022-11-05 10:34:21 UTC; unix
