baySeq: Empirical Bayesian analysis of patterns of differential expression in count data
Version 2.10.0

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.

Package details

AuthorThomas J. Hardcastle
Bioconductor views DifferentialExpression MultipleComparison SAGE Sequencing
MaintainerThomas J. Hardcastle <[email protected]>
LicenseGPL-3
Version2.10.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("baySeq")

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baySeq documentation built on May 31, 2017, 2:47 p.m.