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A computational framework for the prioritization of disease-gene candidates

17 Aug 2015

Abstract excerpt

BACKGROUND: The identification of genes and uncovering the role they play in diseases is an important and complex challenge. Genome-wide linkage and association studies have made advancements in identifying genetic variants that underpin human disease. An important challenge now is to identify meaningful disease-associated genes from a long list of candidate genes implicated by these analyses. The application of...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 26330267
DOI: 10.1186/1471-2164-16-s9-s2

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