中国矿业大学教师个人主页李政伟--中文主页--论文成果

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[1] 基于异质图注意力网络的miRNA与疾病关联预测算法.电子学报,2022,50(6):1428-1435
[2] Predicting miRNA-disease associations based on graph random propagation network and attention network.Briefings in Bioinformatics,2022
[3] 李佳树,李政伟,聂茹,尤著宏,鲍文正.FCGCNMDA: predicting miRNA-disease associations by applying fully connected graph convolutional networks.国外学术期刊,2020
[4] 李政伟,聂茹,尤著宏,曹晨,李佳树.Using discriminative vector machine model with 2DPCA to predict interactions among proteins,2019
[5] Bao, Wenzheng,Yang, Bin,Li, Dan,李政伟,周勇,Bao, Rong.CMSENN: Computational Modification Sites with Ensemble Neural Network.国外学术期刊,2019
[6] Bao, Wenzheng,Yang, Bin,李政伟,周勇.LAIPT: Lysine Acetylation Site Identification with Polynomial Tree.国外学术期刊,2019
[7] 李政伟,韩鹏勇,尤著宏,李晓,张玉森,于海泉,聂茹,陈兴.In silico prediction of drug-target interaction networks based on drug chemical structure and protein sequences.国外学术期刊,2017
[8] 李政伟,Zhu-Hong You,陈兴,Li-Ping Li,De-Shuang Huang,Gui- Ying Yan,聂茹,Yu-An Huang.Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier..国外学术期刊,2017
[9] Zhuhong You,Zhi-An Huang,Zexuan Zhu,Gui-Ying Yan,李政伟,Zhenkun Wen,陈兴.PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.国外学术期刊,2017
[10] 李政伟,尤著宏,陈兴,Jie Gui,聂茹.Highly Accurate Prediction of Protein-Protein Interactions via Incorporating Evolutionary Information and Physicochemical Characteristic.国外学术期刊,2016

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