EnhancerPred: a predictor for discovering enhancers based on the combination and selection of multiple features.

ABSTRACT: Enhancers are cis elements that play an important role in regulating gene expression by enhancing it. Recent study of modifications revealed that enhancers are a large group of functional elements with many different subgroups, which have different biological activities and regulatory effects on target genes. As powerful auxiliary tools, several computational methods have been proposed to distinguish enhancers from other regulatory elements, but only one method has been considered to clustering them into subgroups. In this study, we developed a predictor (called EnhancerPred) to distinguish between enhancers and nonenhancers and to determine enhancers' strength. A two-step wrapper-based feature selection method was applied in high dimension feature vector from bi-profile Bayes and pseudo-n

SUBMITTER: Jia C 

PROVIDER: S-EPMC5150536 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature