Onto2Vec: joint vector-based representation of biological entities and their ontology-based annotations

Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf
2018 Bioinformatics  
We propose the Onto2Vec method, an approach to learn feature vectors for biological entities based on their annotations to biomedical ontologies. Our method can be applied to a wide range of bioinformatics research problems such as similarity-based prediction of interactions between proteins, classification of interaction types using supervised learning, or clustering.
doi:10.1093/bioinformatics/bty259 pmid:29949999 pmcid:PMC6022543 fatcat:nmb7uxfcgzhpvix3ccczi3hlge