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 <[email protected]> and Ramon Diaz-Uriarte <[email protected]>. 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 <[email protected]>
URL http://www.r-project.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the RJaCGH package in your browser

Any scripts or data that you put into this service are public.

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