tileHMM (1.0-4)

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.

Maintainer: Peter Humburg
Author(s): Peter Humburg

License: GPL (>= 2)

Uses: st

Released almost 9 years ago.