Now showing items 1-2 of 2
Biological applications of knowledge graph embedding models
(Oxford University Press (OUP), 2020-02-17)
Complex biological systems are traditionally modelled as graphs of interconnected biological entities. These graphs, i.e. biological knowledge graphs, are then processed using graph exploratory approaches to perform different ...
Discovering protein drug targets using knowledge graph embeddings
(Oxford University Press, 2019-08-01)
Motivation Computational approaches for predicting drug-target interactions (DTIs) can provide valuable insights into the drug mechanism of action. DTI predictions can help to quickly identify new promising (on-target) ...