Paper Publications

• [1]Wang Minghui.Prediction of human disease-associated phosphorylation sites with combined feature selection approach and support vector machine.IET SYSTEMS BIOLOGY,2015,9(4):155-163.
• [2]Wang Minghui.PKIS: computational identification of protein kinases for experimentally discovered protein phosphorylation sites.BMC BIOINFORMATICS,2013,14
• [3]Wang Minghui.A novel method for identifying potential disease-related miRNAs via a disease-miRNA-target heterogeneous network.MOLECULAR BIOSYSTEMS,2017,13(11):2328-2337.
• [4]Wang Minghui,Wang Minghui.A novel method for predicting post-translational modifications on serine and threonine sites by using site-modification network profiles.MOLECULAR BIOSYSTEMS,2014,11(11):3092-3100.
• [5]Wang Minghui,Wang Minghui.ksrMKL: a novel method for identification of kinase-substrate relationships using multiple kernel learning.PEERJ,2017,5
• [6]Wang Minghui.Prediction of kinase-substrate relations based on heterogeneous networks.JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY,2015,13(6):
• [7]Wang Minghui.Prediction of protein kinase-specific phosphorylation sites in hierarchical structure using functional information and random forest.AMINO ACIDS,2014,46(4):1069-1078.
• [8]Wang Minghui.Improving the performance of protein kinase identification via high dimensional protein-protein interactions and substrate structure data.MOLECULAR BIOSYSTEMS,2013,10(3):694-702.
• [9]Wang Minghui.MPTM: A tool for mining protein post-translational modifications from literature.JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY,2017,15(5):
• [10]Wang Minghui,Wang Minghui.A Novel Phosphorylation Site-Kinase Network-Based Method for the Accurate Prediction of Kinase-Substrate Relationships.BIOMED RESEARCH INTERNATIONAL,2016,2017