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Article

HPODNets: deep graph convolutional networks for predicting human protein-phenotype associations.

Bioinformatics (Oxford, England) - 12 Jan 2022

Liu Lizhi, Mamitsuka Hiroshi, Zhu Shanfeng

Abstract excerpt

MOTIVATION: Deciphering the relationship between human genes/proteins and abnormal phenotypes is of great importance in the prevention, diagnosis and treatment against diseases. The Human Phenotype Ontology (HPO) is a standardized vocabulary that describes the phenotype abnormalities encountered in human disorders. However, the current HPO annotations are still incomplete. Thus, it is necessary to computationally...

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PMID: 34672333
DOI: 10.1093/bioinformatics/btab729

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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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