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李政伟
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的个人主页 http://faculty.cumt.edu.cn/zwli/zh_CN/index.htm
博士生导师 硕士生导师
教师拼音名称:
lizhengwei
电子邮箱:
8ba8d655aa3a38e9ea2432b72547358426fc695a3a335fc91e3369ec08223716fe871eeb33e59e8d07ecb101ae1b0494a35904cd5f5dacf945a40a07e82a3ddc86c4d80bf6004784e5dc03c9e124af398c9e87b9a94a31e167e0a8655ea358010eec4110b01d4aa56f416649fee0e50b08da220283756527cb3025a8cf907f86
所在单位:
计算机科学与技术学院
学历:
博士研究生毕业
办公地点:
计算机楼A309-1
性别:
男
学位:
博士
论文成果
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论文成果
[11]
李政伟,李佳树,尤著宏,聂茹,赵欢,钟堂波.基于异质图注意力网络的miRNA与疾病关联预测算法,2022,2022年06期:1428-1435,8
[12]
李政伟,Li, Jia-Shu,You, Zhu-Hong,聂茹,Zhao, Huan,Zhong, Tang-Bo.Associations Prediction Algorithm of MiRNAs and Diseases Based on Heterogeneous Graph Attention Network,2022,v 50,n 6,p1428-1435
[13]
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
[14]
Zhong, Tangbo,李政伟,You, Zhu-Hong,聂茹,Zhao, Huan.Predicting miRNA-disease associations based on graph random propagation network and attention network,2022,卷: 23期: 2
[15]
Predicting miRNA-disease associations based on graph random propagation network and attention network.Briefings in Bioinformatics,2022
[16]
Tian, Yun,Xu, Caixia,Li, Lin,Han, Pengyong,李政伟.The CNV Predict Model in Esophagus Cancer,2022,v 13394 LNCS,p405-414
[17]
Liu, Hailei,Chen, Zhenqiong,Gopalakrishnan, Chandrasekhar,Ramalingam, Rajasekaran,Han, Pengyong,李政伟.The Prognosis Model of Clear Cell Renal Cell Carcinoma Based on Allograft Rejection Markers,2022,v 13394 LNCS,p383-393
[18]
Xu, Caixia,Yang, Xiaokun,Wang, Zhipeng,Han, Pengyong,Li, Xiaoguang,李政伟.Research on the Potential Mechanism of Rhizoma Drynariae in the Treatment of Periodontitis Based on Network Pharmacology,2022,v 13394 LNCS,p207-219
[19]
Zhang, Zhengtao,Han, Pengyong,李政伟,聂茹,Wang, Qiankun.Prediction of MiRNA-Disease Association Based on Higher-Order Graph Convolutional Networks,2022,v 13394 LNCS,p181-195
[20]
Gopalakrishnan, Chandrasekhar,Xu, Caixia,Li, Yanran,Anandhan, Vinutha,Gangadharan, Sanjay,Paul, Meshach,Ponnusamy, Chandra Sekar,Ramalingam, Rajasekaran,Han, Pengyong,李政伟.Elucidating Quantum Semi-empirical Based QSAR, for Predicting Tannins’ Anti-oxidant Activity with the Help of Artificial Neural Network,2022,v 13394 LNCS,p289-301
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