Screening drug-target interactions with positive-unlabeled learning

@inproceedings{Peng2017ScreeningDI,
  title={Screening drug-target interactions with positive-unlabeled learning},
  author={Lihong Peng and Wen Zhu and Bo Liao and Yu Duan and Min Chen and Yi Chen and Jialiang Yang},
  booktitle={Scientific Reports},
  year={2017}
}
Identifying drug-target interaction (DTI) candidates is crucial for drug repositioning. However, usually only positive DTIs are deposited in known databases, which challenges computational methods to predict novel DTIs due to the lack of negative samples. To overcome this dilemma, researchers usually randomly select negative samples from unlabeled drug-target pairs, which introduces a lot of false-positives. In this study, a negative sample extraction method named NDTISE is first developed to… CONTINUE READING
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