Jun Hu, Yang Li, Ming Zhang, Xibei Yang, Hong-Bin Shen, and Dong-Jun Yu. Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-based Features and Boosting Multiple SVMs [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016. (In Press) [PDF][Web Server] Jun Hu, Ke Han, Yang Li, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu. TargetCrys: protein crystallization prediction by fusing multi-view features with two-layered SVM [J]. Amino Acids, 2016, 48(11): 2533-2547. [PDF][Web Server] Jun Hu, Yang Li, Wu-Xia Yan, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu. KNN-based Dynamic Query-Driven Sample Rescaling Strategy for Class Imbalance Learning [J]. Neurocomputing, 2016, 191: 363-373. [PDF][Web Server][ Web Server Code for Our Lab Members] Jun Hu, Yang Li, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu. GPCR-drug Interactions Prediction Using Random Forest with Drug-Association-Matrix-Based Post-Processing Procedure [J]. Computational Biology and Chemistry, 2016, 60: 59-71. [PDF][Web Server] Xue He, Ke Han, Jun Hu, Hui Yan, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu. TargetFreeze: Identifying Antifreeze Proteins via a Combination of Weights using Sequence Evolutionary Information and Pseudo Amino Acid Composition.Journal of Membrane Biology, 2015, 248(6): 1005-1014.[PDF][Web Server] Dong-Jun Yu, Jun Hu, Qian-Mu Li, Zhen-Min Tang, Jing-Yu Yang, and Hong-Bin Shen. Constructing Query-Driven Dynamic Machine Learning Model with Application to Protein-Ligand Binding Sites Prediction. IEEE Transactions on NanoBioscience, 2015, 14(1): 44-57. [PDF][Web Server] Dong-Jun Yu, Yang Li, Jun Hu, Hong-Bin Shen, and Jing-Yu Yang.Disulfide Connectivity Prediction with Modelled Protein 3D Structural Information and Random Forest Regression. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2015, 12(3): 611-621.[PDF][Web Server] Jun Hu, Xue He, Dong-Jun Yu*, Xi-Bei Yang, Jing-Yu Yang, and Hong-Bin Shen. A New Supervised Over-Sampling Algorithm with Application to Protein-Nucleotide Binding Residues Prediction. PLOS ONE, 2014, 9(9): e107676[PDF][Web Server] Dong-Jun Yu, Jun Hu, Hui Yan, Hong-Bin Shen, and Jing-Yu Yang. Enhancing Protein-Vitamin Binding Residues Prediction by Multiple Heterogeneous Subspace SVMs Ensemble. BMC Bioinformatics, 2014, 15:297. [PDF] [Web Server] Dong-Jun Yu, Jun Hu, Jing Yang, Hong-Bin Shen, Jinhui Tang, and Jing-Yu Yang. Designing template-free predictor for targeting protein-ligand binding sites with classifier ensemble and spatial clustering.IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013, 10(4): 994-1008.[PDF][PDF][Web Server] Dong-Jun Yu, Jun Hu, Xiaowei Wu, Hong-Bin Shen, Jun Chen, Zhenmin Tang, Jian Yang, and Jingyu Yang.Learning Protein Multi-View Features in Complex Space, Amino Acids.2013, 44(5): 1365-1379.[PDF][ Web Server][ Web Server Code for Our Lab Members] Dong-Jun Yu, Jun Hu, Yan Huang, Hong-Bin Shen, Yong Qi, Zhen-Min Tang and Jing-Yu Yang. TargetATPsite: A Template-free Method for ATP Binding Sites Prediction with Residue Evolution Image Sparse Representation and Classifier Ensemble. Journal of Computational Chemistry, 2013, 34: 974-985. ( Inside Cover Story)[PDF][Web Server] Dong-Jun Yu, Jun Hu, Zhen-Min Tang, Hong-Bin Shen, Jian Yang, and Jing-Yu Yang. Improving Protein-ATP Binding Residues Prediction by Boosting SVMs with Random Under-Sampling. Neurocomputing, 2013, 104: 180-190.[PDF][Web Server] Dong-Jun Yu, Jun Hu, Jian-Hua Xie, Yong Qi, and Zhen-Min Tang. Supervised Kernel Self-Organizing Map. 2012 Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering (IScIDE 2012). Springer, Nanjing, LNCS 7751, pp. 246--253. Springer, Heidelberg (2013). [PDF]
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