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Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes
Dec 11, 2014
PMID: 990011569
DOI: 10.1101/011569
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Abstract
The first decade of Genome Wide Association Studies (GWAS) has uncovered a wealth of disease-associated variants. Two important derivations will be the translation of this information into a multiscale understanding of pathogenic variants, and leveraging existing data to increase the po...read more
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Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes
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Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes
Abstract
The first decade of Genome Wide Association Studies (GWAS) has uncovered a wealth of disease-associated variants. Two important derivations will be the translation of this information into a multiscale understanding of pathogenic variants, and leveraging existing data to increase the po...read more
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