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RJaCGH: 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.
Getting started
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Package details |
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| Author | 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. |
| Bioconductor views | DNACopyNumber Microarray |
| Maintainer | Oscar Rueda <rueda.om@gmail.com> |
| License | GPL-3 |
| Version | 2.0.4 |
| URL | http://www.r-project.org |
| Package repository | View on CRAN |
| Installation |
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