Improving the prediction of chemotherapeutic sensitivity of tumors in breast cancer via optimizing the selection of candidate genes. - Lina Jiang; Liqiu Huang; Qifan Kuang; Juan Zhang; Menglong Li; Zhining Wen; Li He (Comput. Biol. Chem., 2014)

A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approach. - Yu Wang; Yanzhi Guo; Qifan Kuang; Xuemei Pu; Yue Ji; Zhihang Zhang; Menglong Li (J. Comput. Aided Mol. Des., 2015)

Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer. - Keqin Liu; Li He; Zhichao Liu; Junmei Xu; Yuan Liu; Qifan Kuang; Zhining Wen; Menglong Li (BMC Bioinform., 2017)