Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier

Leyi Wei, Pengwei Xing, Jian-Cang Zeng, Jin-Xiu Chen, Ran Su, Fei Guo

Abstract: Highlights•A novel strategy of negative sample construction is proposed.•Two novel types of feature extraction methods are proposed.•Our machine learning based prediction model exhibits the efficiency and effectiveness to predict protein–protein interactions, significantly reducing false negatives.