Improved Prediction of Regulatory Element Using Hybrid Abelian Complexity Features with DNA Sequences.

ABSTRACT: Abstract: Deciphering the code of cis-regulatory element (CRE) is one of the core issues of current biology. As an important category of CRE, enhancers play crucial roles in gene transcriptional regulations in a distant manner. Further, the disruption of an enhancer can cause abnormal transcription and, thus, trigger human diseases, which means that its accurate identification is currently of broad interest. Here, we introduce an innovative concept, i.e., abelian complexity function (ACF), which is a more complex extension of the classic subword complexity function, for a new coding of DNA sequences. After feature selection by an upper bound estimation and integration with DNA composition features, we developed an enhancer prediction model with hybrid abelian complexity features (HACF). Co

SUBMITTER: Wu C 

PROVIDER: S-EPMC6480087 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature