PHENOstruct: Prediction of human phenotype ontology terms using heterogeneous data sources.
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ABSTRACT:
SUBMITTER: Kahanda I
PROVIDER: S-EPMC4722686 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature
Publications
PHENOstruct: Prediction of human phenotype ontology terms using heterogeneous data sources.
Kahanda Indika I Funk Christopher C Verspoor Karin K Ben-Hur Asa A
F1000Research 20150716
The human phenotype ontology (HPO) was recently developed as a standardized vocabulary for describing the phenotype abnormalities associated with human diseases. At present, only a small fraction of human protein coding genes have HPO annotations. But, researchers believe that a large portion of currently unannotated genes are related to disease phenotypes. Therefore, it is important to predict gene-HPO term associations using accurate computational methods. In this work we demonstrate the perfo ...[more]
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