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README.md
In 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
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tileHMM documentation built on May 30, 2017, 3:41 a.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
Try the tileHMM package in your browser
Any scripts or data that you put into this service are public.
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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