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计算机科学与技术（可授工学、理学学位）
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硕士研究生导师
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计算机与电子信息学院
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2016年12月 毕业于中南大学信息科学与工程学院，获计算机科学与技术专业博士学位。
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CCF生物信息专业委员会委员，ACM SigBio专业组成员，中国抗癌协会肿瘤标志专业委员会委员IEEE会员，ACM会员，CCF会员Editorial Board MemberBioMed Research International (2020-present)Current Chinese Science (2020-present)International Journal of Bioinformatics and Computational Biology (2018-present)International Journal of Genetics and Genomics (2018-present)Journal of Autonomous Intelligence (2017-present)Guest EditorFrontiers in GeneticsProgram committee member BIBM 2020, CBC2020, ICYCSEE 2020, BIBM 2019, CBC2019, ICYCSEE 2019, CBC2018, BIBM 2018, ISBRA2018, ICYCSEE 2018ReviewerPLOS Computational Biology, Bioinformatics, ACM/IEEE Transactions on Computational Biology and Bioinformatics, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on nanobioscience, IEEE Access, Frontiers in Genetics, BMC Bioinformatics, Computational and Structural Biotechnology Journal, Entropy, PLOS One, Cellular Physiology and Biochemistry, International Journal of Data Mining and Bioinformatics, Biomedical research international, Current bioinformatics, Interdisciplinary Sciences - Computational Life Sciences, Complexity, Journal of Computer Science and Technology
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离散数学、数据挖掘、面向对象程序设计
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机器学习，数据挖掘，生物信息学
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主持及参与项目：1、国家自然科学基金青年项目，**，基于多网络融合的lncRNA与疾病关系预测研究 （主持）2、国家自然科学家基金应急管理项目，**，基于关联分析的非编码RNA调控机制发现与算法研究 （参与）3、国家自然科学基金重点项目，**，面向复杂生物数据处理的高效计算方法 （参与）4、国家自然科学基金优青项目，**，生物信息学 （参与）5、国家自然科学基金面上项目，**，生物信息学中的序列分析相关问题研究 （参与）6、国家自然科学基金面上项目，**，基于生物网络的人类疾病基因识别算法研究 （参与）7、国家自然科学基金面上项目，**，基于数据挖掘技术信号通路识别模型及算法研究 （参与）
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Book Chapter:1.Wei Lan, Liyu Huang, Dehuan Lai, Qingfeng Chen. Identifying interactions between long non-coding RNAs and diseases based on computational methods. Computational Systems Biology, book edited by Tao Huang, Springer, 2018.Paper:2.Wei Lan, Ximin Wu, Qingfeng Chen, Wei Peng, Jianxin Wang, Yiping Phoebe Chen. GANLDA: Graph attention network for lncRNA-disease associations prediction. Neurocomputing. 20203.Wei Lan, Mingrui Zhu, Qingfeng Chen, Baoshan Chen, Jin Liu, Min Li and Yi-ping Phoebe Chen. CircR2Cancer: A manually curated database of associations between circRNAs and cancers. Database, 2020. 4.Jin Liu, Yu Sheng, Wei Lan, Rui Guo, Yufei Wang, Jianxin Wang. Improved ASD Classification using Dynamic Functional Connectivity and Multi-task Feature Selection. Pattern Recognition Letters. 2020, 138, 82-87.5.Ximin Wu, Wei Lan*, Qingfeng Chen, Yi Dong, Jin Liu, Wei Peng. Inferring LncRNA-disease Associations Based On Graph Autoencoder Matrix Completion. Computational Biology and Chemistry. 2020, 107282.6.Wei Peng, Jielin Du, Lun Li, Wei Dai, Wei Lan. Predicting protein functions by using non-negative matrix factorisation with multi-networks co-regularisation. International Journal of Data Mining and Bioinformatics. 2020, 23(4) :318-342.7.Zhixian Liu, Qingfeng Chen, Wei Lan, Jiahai Liang, Yiping Pheobe Chen, Baoshan Chen. A Survey of Network Embedding for Drug Analysis and Prediction. Current protein & peptide science. 2020, DOI: 10.2174/**701.8.Wei Peng, Lun Li, Wei Dai, Jielin Du, Wei Lan. Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 86-89.9.Qingfeng Chen, Zhe Zhao, Wei Lan*, Ruchang Zhang, Zhiqiang Wang, Cheng Luo, Yiping Pheobe Chen. Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity. Quantitative Biology. 2019, 1-8.10.Qingfeng Chen, Dehuan Lai, Wei Lan*, Ximin Wu, Jianxin Wang. ILDMSF: Inferring Associations between Long non-coding RNA and Disease Based on Multi-similarity Fusion. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2019, PP(99):1-1.11.Qingfeng Chen, Zhe Zhao, Wei Lan*, Ruchang Zhang, Jiahai Liang. Predicting miRNA-disease interaction based on recommend method. Information Discovery and Delivery. 48(1) 35-40.12.Qingfeng Chen, Canshang Deng, Wei Lan*, Zhixian Liu, Ruiqing Zheng, Jin Liu, Jianxin Wang. Identifying Interactions Between Kinases and Substrates Based on Protein–Protein Interaction Network. Journal of Computational Biology. 2019, doi.org/10.1089/cmb.2019.0048.13.Jingzhong Gan, Jie Qiu, Canshang Deng, Wei Lan*, Qingfeng Chen, Yanling Hu. KSIMC: Predicting Kinase–Substrate Interactions Based on Matrix Completion. International Journal of Molecular Sciences. 2019, 20, 302. 14.Canshang Deng, Qingfeng Chen, Zhixian Liu, Ruiqing Zheng, Jin Liu, Jianxin Wang, Wei Lan*. KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk. In International Symposium on Bioinformatics Research and Applications, 151-162, 2018. 15.Hui Jiang, Jianxin Wang, Min Li, Wei Lan, Fangxiang Wu, Yi Pan. miRTRS: A Recommendation Algorithm for Predicting miRNA Targets. IEEE/ACM transactions on computational biology and bioinformatics. PP(99):1-1, 2018. 16.Haiqiong Luo, Wei Lan*, Qingfeng Chen, Zhiqiang Wang, Zhixian Liu, Xxiaofeng Yue, Lingzhi Zhu . Inferring microRNA-Environmental Factor Interactions Based on Multiple Biological Information Fusion. Molecules 23 (10), 2439. 17.Wei Lan, Min Li, Kaijie Zhao, Jin Liu, Fangxiang Wu, Yi Pan, Jianxin Wang. LDAP: a web server for lncRNA-disease association prediction. Bioinformatics, 33 (3): 458-460, 2017. 18.Cheng Yan, Jianxin Wang, Wei Lan, Fang-xiang Wu, Yi Pan.SDTRLS: Predicting Drug-Target Interactions for Complex Diseases Based on Chemical Substructures. Complexity, 2017(99):1-10.19.Cheng Yan, Jianxin Wang, Peng Ni, Wei Lan, Fang-xiang Wu, Yi Pan. DNRLMF-MDA: Predicting microRNA-disease associations based on similarities of microRNAs and disease. IEEE/ACM Transactions on Computational Biology and Bioinformatics PP(99):1-1, 2017. 20.Jin Liu, Min Li, Yi Pan, Wei Lan, Ruiqing Zheng, Fang-Xiang Wu, Jianxin Wang. Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. Complexity, 2017(2):1-27, 2017. 21.Wei Peng, Wei Lan, Jiancheng Zhong, Jianxin Wang, Yi Pan. A novel method of predicting microRNA-disease associations based on microRNA, disease, gene and environment factor networks. Methods, 124, 69-77, 2017. 22.Wei Peng, Wei Lan, Jianxin Wang, Yi Pan. A Framework for integrating multiple biological networks to predict microRNA-disease associations. IEEE Transactions on NanoBioscience. 16(2), 100-107, 2017. 23.Wei Lan, Jianxin Wang, Min Li, Jin Liu, Fangxiang Wu, Yi Pan. Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing, 206, 50-57, 2016. 24.Wei Lan, Jianxin Wang, Min Li, Jin Liu, Fangxiang Wu, Yi Pan. Predicting microRNA-disease associations based on improve miRNA and disease similarities. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016, doi: 10.1109/TCBB.2016.** 25.Jin Liu, Min Li, Wei Lan, Fangxiang Wu, Yi Pan, Jianxin Wang. Classification of Alzheimer’s Disease based on Hierarchical Anatomical Whole Brain Network Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2016. 26.Wei Lan, Jianxin Wang, Min Li, Chengqian Lu, Fangxiang Wu, Yi Pan. Predicting microRNA-environmental factor interactions based on multi-label learning. BIBM2016. 27.Wei Peng, Wei Lan, Jianxin Wang, Yi Pan. Predicting MicroRNA-disease associations by walking on four biological networks. BIBM2016. 28.Wei Peng, Wei Lan, Jianxin Wang, Yi Pan. Predicting MicroRNA-disease associations by random walking on multiple networks. ISBRA2016. 29.Wei Lan, Jianxin Wang, Min Li, Wei Peng, Fangxiang Wu. Computational Approaches for Prioritizing Candidate Disease Genes Based on PPI Networks. Tsinghua Science and Technology, 20(5), 500-512, 2015. 30.Wei Lan, Jianxin Wang, Min Li, Jin Liu, Fangxiang Wu, Yi Pan. Predicting microRNA-disease associations by integrating multiple biological information. In Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on, pp. 277-280. IEEE, 2015. 31.Wei Lan, Jianxin Wang, Min Li, Ruiqing Zheng, Fangxiang Wu, Yi Pan. Predicting drug-target interaction based on sequence and structure information. 17th IFAC Symposium on System Identification SYSID 2015, IFAC-PapersOnLine , 48 (28): 12-16. 32.Wei Lan, Qingfeng Chen, Taoshen Li, Changan Yuan, Scott Mann, Baoshan Chen. Identification of Important Positions within miRNAs by Integrating Sequential and Structural Features. Current Protein and Peptide Science, 15(6), 591-597, 2014. 33.Qingfeng Chen, Wei Lan, Jianxin Wang. Mining Featured Patterns of MiRNA Interaction Based on Sequence and Structure Similarity. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10(2), 415-422, 2013. 34.Wei Lan, Qingfeng Chen, Taoshen Li. Discovery of MicroRNA conservative sites in drosophila melanogaster. Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on. Vol. 3. IEEE, 2011.
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序号 出版社　　　　　 著作名称　　　　　　　　　　　 1　　 中国原子能出版社 自媒体时代高校网络舆情治理研究
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基于双向随机游走和多标签学习的miRNA-环境因子关系预测方法. 已授权
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2018 中南大学优秀博士论文2017 ACM Chongqing DOCTORAL DISERTATION AWARD2016 Tsinghua Science and Technology Best Paper Award2016 广西自然科学三等奖（排名第四）
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每年招收硕士2-3人"}},