Predicting important classes of chemokine family based on kernel method. - Zhen-Ran Jiang; Wei-ming Yu; Ran Tao (Comput. Phys. Commun., 2011)

Prediction of drug's Anatomical Therapeutic Chemical (ATC) code by integrating drug-domain network. - Fan-Shu Chen; Zhen-Ran Jiang (J. Biomed. Informatics, 2015)

DSEP: A Tool Implementing Novel Method to Predict Side Effects of Drugs. - Shu-Yuan Niu; Ming-Yuan Xin; Jian Luo 005; Mingyao Liu; Zhen-Ran Jiang (J. Comput. Biol., 2015)

Using the Ranking-Based KNN Approach for Drug Repositioning Based on Multiple Information. - Xin Tian; Ming-Yuan Xin; Jian Luo 005; Zhen-Ran Jiang (ICIC (1), 2016)

Identification of Genes Involved in Breast Cancer Metastasis by Integrating Protein-Protein Interaction Information with Expression Data. - Xin Tian; Ming-Yuan Xin; Jian Luo 005; Mingyao Liu; Zhen-Ran Jiang (J. Comput. Biol., 2017)

ANMDA: anti-noise based computational model for predicting potential miRNA-disease associations. - Xue-Jun Chen; Xin-Yun Hua; Zhen-Ran Jiang (BMC Bioinform., 2021)

AttCRISPR: a spacetime interpretable model for prediction of sgRNA on-target activity. - Li-Ming Xiao; Yun-Qi Wan; Zhen-Ran Jiang (BMC Bioinform., 2021)

GraphDPA: Predicting drug-pathway associations by graph convolutional networks. - Zhong-Rui Zhang; Zhen-Ran Jiang (Comput. Biol. Chem., 2022)