Hidden Markov Models for ChIP-on-Chip Analysis
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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.
Releases for this R package are available from CRAN. The source code is hosted on GitHub
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