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

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.

Package details

AuthorPeter Humburg [aut, cre]
MaintainerPeter Humburg <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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tileHMM documentation built on May 30, 2017, 3:41 a.m.