An integrated scheme for feature selection and parameter setting in the support vector machine modeling and its application to the prediction of pharmacokinetic properties of drugs. - Sheng-Yong Yang; Qi Huang; Lin-Li Li; Chang-Ying Ma; Hui Zhang 007; Ru Bai; Qizhi Teng; Ming-Li Xiang; Yu-Quan Wei (Artif. Intell. Medicine, 2009)

A prediction model of substrates and non-substrates of breast cancer resistance protein (BCRP) developed by GA-CG-SVM method. - Lei Zhong; Chang-Ying Ma; Hui Zhang 007; Li-Jun Yang; Hua-Lin Wan; Qing-Qing Xie; Lin-Li Li; Sheng-Yong Yang (Comput. Biol. Medicine, 2011)

Predicting drug-induced liver injury in human with Naïve Bayes classifier approach. - Hui Zhang 007; Lan Ding; Yi Zou; Shui-Qing Hu; Hai-Guo Huang; Wei-Bao Kong; Ji Zhang (J. Comput. Aided Mol. Des., 2016)

Prediction of drug-induced eosinophilia adverse effect by using SVM and naïve Bayesian approaches. - Hui Zhang 007; Peng Yu; Ming-Li Xiang; Xi-Bo Li; Wei-Bao Kong; Jun-Yi Ma; Jun-Long Wang; Jin-Ping Zhang; Ji Zhang (Medical Biol. Eng. Comput., 2016)