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...

Descripción completa

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

Internet

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

Ejemplares similares