Last data update: 2014.03.03
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baySeq
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
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'baySeq' ...
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'baySeq'
finding HTML links ... done
CDPost html
CDPriors html
allModels html
baySeq-classes html
baySeq-package html
bimodalSep html
densityFunction html
densityFunctions html
getLibsizes html
getLikelihoods html
getPosteriors html
getPriors html
getTPs html
makeOrderings html
methObservables html
mobAnnotation html
mobData html
pairData html
plotMA.CD html
plotNullPrior html
plotPosteriors html
plotPriors html
selectTop html
simData html
summarisePosteriors html
topCounts html
zimData html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (baySeq)
Making 'packages.html' ... done
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