Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning

HIGHLIGHTS

• who: Andrej Kastrin et al. from the Institute of Biostatistics and Medical Informatics, Faculty of Medicine, University of Ljubljana, Ljubljana have published the article: Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning, in the Journal: PLOS ONE | https://doi.org/10.1371/journal.pone [0196865]. May 8, 2018 of /1371/
• what: The authors examine link prediction from the viewpoint of predicting potential DDIs. The aims of this work are: (i) to represent the process of discovering potential DDIs as a binary classification task in which features are represented as . . .
  

   

  

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