RJaCGH (1.2.0)

Reversible Jump MCMC for the analysis of CGH arrays..


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 minimal common regions for gains/losses.

Maintainer: Oscar Rueda
Author(s): Oscar Rueda <omrueda@cnio,es> and Ramon Diaz-Uriarte <rdiaz@ligarto.org>

License: GPL version 2 or newer

Uses: Does not use any package

Released almost 12 years ago.