In this paper, we present Tiresias, a large-scale similarity-based framework that predicts DDIs through link prediction.
In this paper, we present Tiresias, a large-scale similarity-based framework that predicts DDIs through link prediction. Tiresias takes in various sources of ...
Jul 9, 2018 · In this paper, we present Tiresias, a large-scale similarity-based framework that predicts DDIs through link prediction.
In this paper, we present Tiresias, a large-scale similarity-based framework that predicts DDIs through link prediction. Tiresias takes in various sources of ...
Mar 8, 2017 · Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions. Web. Semantics: Science ...
Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions · I. Abdelaziz, Achille Fokoue, +2 authors
... The pioneering work for DDI prediction [Vilar et al., 2012] computes similarities between drug pairs with drug chemical structures and predicts DDIs with a ...
We propose a novel framework, Predicting Rich DDI, to predict DDIs. The framework uses graph embedding to overcome data incompleteness and sparsity issues.
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Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions ... J. Web Semant. 2017.
Large-scale structural and textual similarity-based mining of knowledge graph to predict drug--drug interactions. Journal of Web Semantics, Vol. 44 (2017) ...