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Molecular Omics|May 5, 2018
Identification and analysis of the cleavage site in a signal peptide using SMOTE, dagging, and feature selection methodsShaoPeng Wang, Deling Wang, JiaRui Li, et al.Plos One|October 23, 2014
Predicting A-to-I RNA editing by feature selection and random forestYang Shu, Ning Zhang, Xiangyin Kong, et al.Combinatorial Chemistry & High Throughput Screening|December 20, 2017
Computational method for distinguishing lysine acetylation, sumoylation, and ubiquitination using the random forest algorithm with a feature selection procedureShaoPeng Wang, Jiarui Li, Fei Yuan, et al.Plos One|January 31, 2015
Discovery of new candidate genes related to brain development using protein interaction informationLei Chen, Chen Chu, Xiangyin Kong, et al.Current Protein & Peptide Science|October 27, 2005
Computational methods for protein-protein interaction and their applicationTie-Liu Shi, Yi-Xue Li, Yu-Dong Cai, et al.Journal of Peptide Science : an Official Publication of the European Peptide Society|August 1, 2002
Support vector machines for the classification and prediction of beta-turn typesYu-Dong Cai, Xiao-Jun Liu, Xue-Biao Xu, et al.Biomed Research International|December 14, 2016
Analysis of Important Gene Ontology Terms and Biological Pathways Related to Pancreatic CancerHang Yin, ShaoPeng Wang, Yu-Hang Zhang, et al.Journal of Theoretical Biology|March 14, 2003
Support vector machines for prediction of protein domain structural classYu-Dong Cai, Xiao-Jun Liu, Xue-Biao Xu, et al.Journal of Theoretical Biology|July 27, 2005
Using LogitBoost classifier to predict protein structural classesYu-Dong Cai, Kai-Yan Feng, Wen-Cong Lu, et al.Combinatorial Chemistry & High Throughput Screening|December 22, 2016
Analysis and Prediction of Myristoylation Sites Using the mRMR Method, the IFS Method and an Extreme Learning Machine AlgorithmShaoPeng Wang, Yu-Hang Zhang, GuoHua Huang, et al.Pageof 31