Identification of pre-microRNAs by characterizing their sequence order evolution information and secondary structure graphs.

ABSTRACT:

Background

Distinction between pre-microRNAs (precursor microRNAs) and length-similar pseudo pre-microRNAs can reveal more about the regulatory mechanism of RNA biological processes. Machine learning techniques have been widely applied to deal with this challenging problem. However, most of them mainly focus on secondary structure information of pre-microRNAs, while ignoring sequence-order information and sequence evolution information.

Results

We use new features for the machine learning algorithms to improve the classification performance by characterizing both sequence order evolution information and secondary structure graphs. We developed three steps to extract these features of pre-microRNAs. We first extract features from PSI-BLAST profiles and Hilbert-Huang transform

SUBMITTER: Ma Y 

PROVIDER: S-EPMC6311913 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature