Article

Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes

2014-12-11

Abstract excerpt

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 power of existing and future studies through prioritization. We explore edge prediction on heterogeneous networks—graphs with multip...

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Literature Corpus work: 68c9e80f-685c-5b8d-bcc5-278e8c920b2d
DOI: 10.1101/011569

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