SURE: Screening unlabeled samples for reliable negative samples based on reinforcement learning

Ying Li, Hang Sun, Wensi Fang, Qin Ma, Siyu Han, Rui Wang-Sattler, Wei Du, Qiong Yu

Abstract: Highlights•Screening reliable negative samples from unlabeled samples based on deep reinforcement learning.•Improving the performance of ncRNA-protein interaction prediction models based on screened negative samples.•Providing five complete datasets containing positive and negative samples of ncRNA-protein interactions.•Developing a web server for ncRNA-protein interaction prediction.