HPOFiller: identifying missing protein-phenotype associations by graph convolutional network

Lizhi Liu, Hiroshi Mamitsuka, Shanfeng Zhu

Abstract: Exploring the relationship between human proteins and abnormal phenotypes is of great importance in the prevention, diagnosis and treatment of diseases. The human phenotype ontology (HPO) is a standardized vocabulary that describes the phenotype abnormalities encountered in human diseases. However, the current HPO annotations of proteins are not complete. Thus, it is important to identify missing protein–phenotype associations.