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Article

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

PLoS computational biology - 1 Jul 2015

Himmelstein Daniel S, Baranzini Sergio E

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...

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Identifiers

PMID: 26158728
DOI: 10.1371/journal.pcbi.1004259
PMCID: PMC4497619

Genes

REL
JAK2
RUNX3

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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