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: | 1.0-4 |
| Depends: | R (≥ 2.12.2), methods |
| Suggests: | st, preprocessCore |
| Published: | 2011-05-13 |
| Author: | Peter Humburg |
| Maintainer: | Peter Humburg <Peter.Humburg at well.ox.ac.uk> |
| License: | GPL (≥ 2) |
| Citation: | tileHMM citation info |
| CRAN checks: | tileHMM results |
| Package source: | tileHMM_1.0-4.tar.gz |
| MacOS X binary: | tileHMM_1.0-4.tgz |
| Windows binary: | tileHMM_1.0-4.zip |
| Reference manual: | tileHMM.pdf |
| Vignettes: |
Using tileHMM for ChIP-on-Chip Analysis |
| Old sources: | tileHMM archive |