Browsing Data Science Institute (Scholarly Articles) by Author "Nováček, Vít"
Now showing items 1-5 of 5
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Biological applications of knowledge graph embedding models
Mohamed, Sameh K.; Nounu, Aayah; Nováček, Vít (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
Mohamed, Sameh K.; Nováček, Vít; Nounu, Aayah (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) ... -
Eye of the Tiger
Nováček, Vít; Groza, Tudor; Handschuh, Siegfried; Decker, Stefan (2009) -
Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models
Muñoz, Emir; Nováček, Vít; Vandenbussche, Pierre-Yves (Oxford University Press (OUP), 2017-08-18)Timely identification of adverse drug reactions (ADRs) is highly important in the domains of public health and pharmacology. Early discovery of potential ADRs can limit their effect on patient lives and also make drug ... -
Infrastructure for Dynamic Knowledge Integration -- Automated Biomedical Ontology Extension Using Textual Resources
Nováček, Vít; Handschuh, Siegfried; Davis, Brian (Elsevier, 2008)We present a novel ontology integration technique that explicitly takes the dynamics and data-intensiveness of e-health and biomedicine application domains into account. Changing and growing knowledge, possibly contained ...