Characterizing gene sets using discriminative random walks with restart on heterogeneous biological networks.

ABSTRACT:

Motivation

Analysis of co-expressed gene sets typically involves testing for enrichment of different annotations or 'properties' such as biological processes, pathways, transcription factor binding sites, etc., one property at a time. This common approach ignores any known relationships among the properties or the genes themselves. It is believed that known biological relationships among genes and their many properties may be exploited to more accurately reveal commonalities of a gene set. Previous work has sought to achieve this by building biological networks that combine multiple types of gene-gene or gene-property relationships, and performing network analysis to identify other genes and properties most relevant to a given gene set. Most existing network-based approaches for re

SUBMITTER: Blatti C 

PROVIDER: S-EPMC4937193 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature