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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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Detalhes bibliográficos
Publicado no:PLoS Comput Biol
Main Authors: Himmelstein, Daniel S., Baranzini, Sergio E.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4497619/
https://ncbi.nlm.nih.gov/pubmed/26158728
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1004259
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