Background: Accurate identification of DNA regulatory elements has become an urgent need in the post-genomic era.Recently, a number of machine learning-based approaches have been developed to predict DNA elements based on chromatin signatures.Two major constraints to the development of this area include (1) incomplete feature extraction of chromatin signatures and (2) lack of multicell models for element prediction across cell types.