tileHMM: Hidden Markov Models for ChIP-on-Chip Analysis

This package provides methods and classes to build HMMs that are suitable for the analysis of ChIP-on-chip data. The provided parameter estimation methods include the Baum-Welch algorithm and Viterbi training as well as a combination of both.

Version: 1.0-3
Depends: R (≥ 2.4.0), methods
Suggests: st, affy, geneplotter
Published: 2009-09-29
Author: Peter Humburg
Maintainer: Peter Humburg <Peter.Humburg at csiro.au>
License: GPL (≥ 2)
Citation: tileHMM citation info
CRAN checks: tileHMM results

Downloads:

Package source: tileHMM_1.0-3.tar.gz
MacOS X binary: tileHMM_1.0-3.tgz
Windows binary: tileHMM_1.0-3.zip
Reference manual: tileHMM.pdf
Old sources: tileHMM archive