RJaCGH: Reversible Jump MCMC for the Analysis of CGH Arrays
Version 2.0.4

Bayesian analysis of CGH microarrays fitting Hidden Markov Chain models. The selection of the number of states is made via their posterior probability computed by Reversible Jump Markov Chain Monte Carlo Methods. Also returns probabilistic common regions for gains/losses.

Getting started

Package details

AuthorOscar Rueda <rueda.om@gmail.com> and Ramon Diaz-Uriarte <rdiaz02@gmail.com>. zlib from Jean-loup Gailly and Mark Adler; see README. Function "getHostname.System" from package R.utils by Henrik Bengtsson.
Bioconductor views DNACopyNumber Microarray
Date of publication2015-07-10 20:15:37
MaintainerOscar Rueda <rueda.om@gmail.com>
LicenseGPL-3
Version2.0.4
URL http://www.r-project.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RJaCGH")

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RJaCGH documentation built on May 30, 2017, 7:09 a.m.