RJaCGH (2.0.4)

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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 common regions for gains/losses.

Maintainer: Oscar Rueda
Author(s): Oscar 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.

License: GPL-3

Uses: Does not use any package

Released over 4 years ago.

6 previous versions



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