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Graph analytics for phenome-genome associations inference
[article]
2019
bioRxiv
pre-print
Biological ontologies, such as the Human Phenotype Ontology (HPO) and the Gene Ontology (GO), are extensively used in biomedical research to find enrichment in the annotations of specific gene sets. However, the interpretation of the encoded information would greatly benefit from methods that effectively interoperate between multiple ontologies providing molecular details of disease-related features. In this work, we present a statistical framework based on graph theory to infer direct
doi:10.1101/682229
fatcat:pj44bi5hozb2pc7h7trpusfoqe