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Hidden Markov Models for ChIP-on-Chip Analysis
Peter Humburg
GPL (>= 2)
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.
Package Version Released
tileHMM 1.0-5 3 years 36 weeks ago
tileHMM 1.0-4 4 years 28 weeks ago
tileHMM 1.0-3 6 years 8 weeks ago
tileHMM 1.0-2
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