tileHMM: Hidden Markov Models for ChIP-on-Chip Analysis
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.
| Version: |
1.0-5 |
| Depends: |
R (≥ 2.14.2), methods |
| Suggests: |
st, preprocessCore |
| Published: |
2012-03-19 |
| Author: |
Peter Humburg |
| Maintainer: |
Peter Humburg <Peter.Humburg at well.ox.ac.uk> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Citation: |
tileHMM citation info |
| CRAN checks: |
tileHMM results |
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