yeastTF_initCovs


Pre-computed initial estimates of the covairances for yeast TF example


data

STAN (STrand-specic ANnotation of genomic data) implements
bidirectional Hidden Markov Models (bdHMM), which are designed
for studying directed genomic processes, such as gene
transcription, DNA replication, recombination or DNA repair by
integrating genomic data. bdHMMs model a sequence of successive
observations (e.g. ChIP or RNA measurements along the genome)
by a discrete number of 'directed genomic states', which e.g.
reflect distinct genome-associated complexes. Unlike standard
HMM approaches, bdHMMs allow the integration of strand-specific
(e.g. RNA) and non strand-specific data (e.g. ChIP).

yeastTF_initCovs: Pre-computed initial estimates of the covairances for yeast TF example

Description

Arguments