humburg/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.

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version1.0-7
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("humburg/tileHMM")
humburg/tileHMM documentation built on May 17, 2017, 12:05 a.m.