• Corpus ID: 238259077

DRP-VEM: Drug repositioning prediction using voting ensemble

@inproceedings{Ghorbanali2021DRPVEMDR,
  title={DRP-VEM: Drug repositioning prediction using voting ensemble},
  author={Zahra Ghorbanali and Fatemeh Zare-Mirakabad and Bahram Mohammadpour},
  year={2021}
}
Traditional drug discovery methods are costly and time-consuming. Drug repositioning (DR) is a common strategy to overcome these issues. Recently, machine learning methods have been used extensively in DR problem. The performance of these methods depends on the features, representations and training dataset. In this problem, feature sets include many redundant features, which have a negative effect on the performance of methods. Moreover, selecting an appropriate training set is influential in… 
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