Package: baySeq
Type: Package
Title: Empirical Bayesian analysis of patterns of differential
        expression in count data
Version: 2.40.0
Date: 2012-12-20
Depends: R (>= 2.3.0), methods
Imports: edgeR, GenomicRanges, abind, parallel, graphics, stats, utils
Suggests: BiocStyle, BiocGenerics
Authors@R: c(person("Thomas J.", "Hardcastle", role = "aut"),
  person("Samuel", "Granjeaud", role = "cre", email = "samuel.granjeaud@inserm.fr", comment=c(ORCID="0000-0001-9245-1535")))
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, Bayesian, Coverage
URL: https://github.com/samgg/baySeq
BugReports: https://github.com/samgg/baySeq/issues
RoxygenNote: 7.2.3
git_url: https://git.bioconductor.org/packages/baySeq
git_branch: RELEASE_3_20
git_last_commit: 9374a8b
git_last_commit_date: 2024-10-29
Repository: Bioconductor 3.20
Date/Publication: 2024-10-29
NeedsCompilation: no
Packaged: 2024-10-30 01:21:54 UTC; biocbuild
Author: Thomas J. Hardcastle [aut],
  Samuel Granjeaud [cre] (<https://orcid.org/0000-0001-9245-1535>)
Maintainer: Samuel Granjeaud <samuel.granjeaud@inserm.fr>
Built: R 4.4.1; ; 2024-10-30 15:27:50 UTC; windows
