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

Publication Year:
2018
Usage 6
Abstract Views 6
Repository URL:
http://hdl.handle.net/10754/627122
Author(s):
Smaili, Fatima Z.; Gao, Xin; Hoehndorf, Robert
Publisher(s):
arXiv
preprint description
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.