tileHMM (1.0-7)

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Hidden Markov Models for ChIP-on-Chip Analysis.

http://cran.r-project.org/web/packages/tileHMM

Methods and classes to build HMMs that are suitable for the analysis of ChIP-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 [aut, cre]

License: GPL (>= 2)

Uses: corpcor, st

Released over 3 years ago.


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