OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Jun 1, 2019
Abstract
MOTIVATION: Ontologies are widely used in biology for data annotation, integration and analysis. In addition to formally structured axioms, ontologies contain meta-data in the form of annotation axioms which provide valuable pieces of information that characterize ontology classes. Annotation axioms commonly used in ontologies include class labels, descriptions or synonyms. Despite being a rich source of semantic information, the ontology meta-data are generally unexploited by ontology-based analysis methods such as semantic similarity measures.