README.md
In humburg/tileHMM: Hidden Markov Models for ChIP-on-Chip Analysis
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.
Releases for this R package are available from CRAN. The source code is hosted on GitHub
humburg/tileHMM documentation built on May 17, 2019, 9:13 p.m.
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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.
Releases for this R package are available from CRAN. The source code is hosted on GitHub
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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