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

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 existin...

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Detalles Bibliográficos
Autores principales:	Himmelstein, Daniel S., Baranzini, Sergio E.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4497619/ https://www.ncbi.nlm.nih.gov/pubmed/26158728 http://dx.doi.org/10.1371/journal.pcbi.1004259

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