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.
|Author||Oscar Rueda <email@example.com> and Ramon Diaz-Uriarte <firstname.lastname@example.org>. 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 publication||2015-07-10 20:15:37|
|Maintainer||Oscar Rueda <email@example.com>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.