tileHMM: Hidden Markov Models for ChIP-on-Chip Analysis
Version 1.0-7

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.

Package details

AuthorPeter Humburg [aut, cre]
Date of publication2015-07-03 00:25:58
MaintainerPeter Humburg <[email protected]>
LicenseGPL (>= 2)
Version1.0-7
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("tileHMM")

Try the tileHMM package in your browser

Any scripts or data that you put into this service are public.

tileHMM documentation built on May 30, 2017, 3:41 a.m.