Authors:
OM Rueda, R Diaz-Uriarte
Journal name: 
Bioinformatics
Citation info: 
25(15):1959-1960
Abstract: 
SUMMARY: Several methods have been proposed to detect copy number changes and recurrent regions of copy number variation from aCGH, but few methods return probabilities of alteration explicitly, which are the direct answer to the question 'is this probe/region altered?' RJaCGH fits a Non-Homogeneous Hidden Markov model to the aCGH data using Markov Chain Monte Carlo with Reversible Jump, and returns the probability that each probe is gained or lost. Using these probabilites, recurrent regions (over sets of individuals) of copy number alteration can be found. AVAILABILITY: RJaCGH is available as an R package from CRAN repositories (e.g. http://cran.r-project.org/web/packages).
DOI: 
http://doi.org/10.1093/bioinformatics/btp307
E-pub date: 
31 Jul 2009
Users with this publication listed: 
Oscar Rueda