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Tools
  • predictins protein functions using protein sequences and protein-protein interaction (PPI) networks
  • feature learning on knowledge graphs and ontologies
  • Onto2Vec is a program that can be used to produce feature vectors for biological entities based on their annotations to biomedical ontologies. It uses the integrity of the axioms describing the structure of an ontology as well as the entity-concept annotation axioms.Onto2Vec 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
Data sets
© 2018 BORG, CBRC, KAUST.
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