A network-based computational framework to predict and differentiate functions for gene isoforms using exon-level expression data.
Journal:
Methods (San Diego, Calif.)
Published Date:
May 1, 2021
Abstract
MOTIVATION: Alternative splicing makes significant contributions to functional diversity of transcripts and proteins. Many alternatively spliced gene isoforms have been shown to perform specific biological functions under different contexts. In addition to gene-level expression, the advances of high-throughput sequencing offer a chance to estimate isoform-specific exon expression with a high resolution, which is informative for studying splice variants with network analysis.