Ontology highlight
ABSTRACT:
SUBMITTER: Song J
PROVIDER: S-EPMC4355146 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature
Genome biology 20150212
Epigenomic data from ENCODE can be used to associate specific combinations of chromatin marks with regulatory elements in the human genome. Hidden Markov models and the expectation-maximization (EM) algorithm are often used to analyze epigenomic data. However, the EM algorithm can have overfitting problems in data sets where the chromatin states show high class-imbalance and it is often slow to converge. Here we use spectral learning instead of EM and find that our software Spectacle overcame th ...[more]