Predicting human splicing branchpoints by combining sequence-derived features and multi-label learning methods.
Journal:
BMC bioinformatics
Published Date:
Dec 1, 2017
Abstract
BACKGROUND: Alternative splicing is the critical process in a single gene coding, which removes introns and joins exons, and splicing branchpoints are indicators for the alternative splicing. Wet experiments have identified a great number of human splicing branchpoints, but many branchpoints are still unknown. In order to guide wet experiments, we develop computational methods to predict human splicing branchpoints.