  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.
