Drug side effect prediction through linear neighborhoods and multiple data source integration. - Wen Zhang 008; Yanlin Chen 002; Shikui Tu; Feng Liu; Qianlong Qu (BIBM, 2016)

Predicting drug-disease associations based on the known association bipartite network. - Wen Zhang 008; Xiang Yue; Yanlin Chen 002; Weiran Lin; Bolin Li; Feng Liu; Xiaohong Li 003 (BIBM, 2017)

Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data. - Wen Zhang 008; Yanlin Chen 002; Feng Liu; Fei Luo 004; Gang Tian; Xiaohong Li 003 (BMC Bioinform., 2017)

A unified frame of predicting side effects of drugs by using linear neighborhood similarity. - Wen Zhang 008; Xiang Yue; Feng Liu; Yanlin Chen 002; Shikui Tu; Xining Zhang (BMC Syst. Biol., 2017)

Sequence-derived linear neighborhood propagation method for predicting lncRNA-miRNA interactions. - Wen Zhang 008; Guifeng Tang; Siman Wang; Yanlin Chen 002; Shuang Zhou 008; Xiaohong Li 003 (BIBM, 2018)

Feature-derived graph regularized matrix factorization for predicting drug side effects. - Wen Zhang 008; Xinrui Liu; Yanlin Chen 002; Wenjian Wu; Wei Wang 121; Xiaohong Li 003 (Neurocomputing, 2018)

Manifold regularized matrix factorization for drug-drug interaction prediction. - Wen Zhang 008; Yanlin Chen 002; Dingfang Li; Xiang Yue (J. Biomed. Informatics, 2018)

SFLLN: A sparse feature learning ensemble method with linear neighborhood regularization for predicting drug-drug interactions. - Wen Zhang 008; Kanghong Jing; Feng Huang 004; Yanlin Chen 002; Bolin Li; Jinghao Li; Jing Gong (Inf. Sci., 2019)