Last data update: 2014.03.03

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baySeq : Empirical Bayesian analysis of patterns of differential expression in count data

Package: baySeq
Type: Package
Title: Empirical Bayesian analysis of patterns of differential
expression in count data
Version: 2.6.0
Date: 2012-12-20
Depends: R (>= 2.3.0), methods, GenomicRanges, abind, perm
Suggests: edgeR, 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
NeedsCompilation: no
Packaged: 2016-05-04 03:28:37 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: DifferentialExpression, MultipleComparison, SAGE, Sequencing
3 images, 20 functions, 7 datasets
Reverse Depends: 4