Disease Gene Prioritization Using Network and Feature

Abstract

Identifying high-confidence candidate genes that are causative for disease phenotypes, from the large lists of variations produced by high-throughput genomics, can be both time-consuming and costly. The development of novel computational approaches, utilizing existing biological knowledge for the prioritization of such candidate genes, can improve the… (More)
DOI: 10.1089/cmb.2015.0001

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