当前位置: X-MOL首页全球导师 国内导师 › 李敏

个人简介

李敏,女,1978年4月生,分别于2004年、2008年获中南大学工学硕士学位和工学博士学位。主要从事生物信息学研究,主要包括基因组序列分析与组装、蛋白质功能及蛋白质复合物预测、复杂生物网络分析、疾病相关预测及医疗大数据分析等,在Bioinformatics、IEEE/ACM Transactions on Computational Biology and Bioinformatics、IEEE Transactions on NanoBioScience、Proteomics、Methods、BMC Bioinformatics、BMC Systems Biology、BMC Genomics等上发表SCI期刊论文70余篇,获国家授权发明专利五项。 2011年被确定为湖南省青年骨干教师培养对象,2012年获得教育部新世纪优秀人才资助,2016年获得国家自然科学基金优秀青年项目资助,主持国家级及省部级项目共计6项。获教育部高等学校科学研究优秀成果奖(自然科学奖)二等奖一项(排名第2),获湖南省科技进步二等奖一项(排名第6)。 教育经历 [1] 2004.8-2008.7 中南大学 | 计算机应用技术专业 | 博士学位 | 博士研究生毕业 [2] 2001.9-2004.7 中南大学 | 交通运输工程及控制专业 | 硕士学位 | 研究生班毕业 2001-2004, 信息科学与工程学院,交通运输工程及控制专业,硕士学位. [3] 1997.9-2001.7 中南大学 | 通信工程 | 学士学位 | 大学本科毕业 1997-2001, 中南大学 信息科学与工程学院,通信工程专业,学士学位 工作经历 [1] 2015.9-至今 中南大学 | 信息科学与工程学院 | 教授 [2] 2009.9-2015.8 中南大学 | 信息科学与工程学院 | 副教授 [3] 2008.9-2010.8 中南大学 | 信息科学与工程学院 | 讲师 [4] 2006.9-2009.8 中南大学 | 现代教育技术中心 | 工程师 [5] 2004.11-2006.1 中南大学 | 现代教育技术中心 | 助理工程师 授课信息 [1]网络工程 [2]计算机网络 [3]数字通信原理 [4]生物信息学(本科) [5]算法分析与设计 [6]生物信息学(研究生) [7]高等计算机算法 科研项目 [1]蛋白质网络的动态特性及其模块化结构分析,教育部博士点专项基金 [2]面向网络水平的蛋白质信息处理相关理论和方法研究,教育部“新世纪优秀人才支持计划资助 [3]面向动态蛋白质网络的功能模块挖掘方法及其应用研究,国家自然科学基金 [4]基于网络水平的关键蛋白质预测方法及应用研究,国家自然科学基金 [5]基于网络控制的复杂疾病药物标靶识别研究,海外及港澳学者合作研究基金 [6]生物信息学,国家自然科学基金优秀青年项目 [7]随机矩阵分解算法及在蛋白质结构建模中的应用研究,海外及港澳学者合作研究基金 [8]基因组数据分析的基础理论与算法,国家自然科学基金重点项目 专利成果 [1]基于双端读数insert size统计特征的scaffolding方法,王建新; 罗军伟; 李敏; 段桂华 [2]一种基于药物子结构、分子字符描述信息的药物靶标关系预测方法, 李敏,王伟平,严承,王建新 [3]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,罗慧敏, 李敏,兰伟,王建新 [4]一种基于推荐模型的miRNA靶基因预测方法,蒋辉; 王建新; 李敏; 颜晓东; 王劭恺 [5]基于邻居接近中心性和直系同源信息的关键蛋白质识别方法,王建新; 李高仕; 李敏 [6]基于基因表达与亚细胞定位信息的蛋白质网络精炼方法,王建新,陈骁培,李敏 [7]一种基于多元格兰杰检验的信号传导网络构建方法,王建新,郑瑞清,李敏 [8]基于双端读数insert size分布的contig错误连接区域识别方法,罗军伟,王建新,颜晓东,李敏 [9]基于最大邻居子网的关键蛋白质识别方法,王建新,李文凯,李敏 [10]基于距离判定的蛋白质复合物识别方法, 李敏,王建新 [11]基于关键蛋白质和局部适应的蛋白质复合物识别方法, 李敏, 刘彬彬,王建新,2013 [12]一种基于结构域特征的关键蛋白质识别方法,王建新; 成颖佼; 彭玮; 李敏 [13]一种基于先验知识和网络拓扑特性的关键蛋白预测方法, 王建新, 张含会,李敏 [14]一种基于读数和距离分布的基因组De novo序列拼接方法,王建新; 罗军伟; 李敏 [15]基于亚细胞定位特异性的关键蛋白质识别方法, 钟坚成., 罗军伟, 李敏,彭小清,王建新 [16]基于蛋白质相互作用网络和蛋白质组学数据的蛋白质鉴定方法,王建新; 钟坚成; 李敏 教学成果 [1]湖南省优秀硕士学位论文指导教师,2018-07-07 [2]湖南省优秀硕士学位论文指导教师,2017-07-03 [3]湖南省优秀硕士学位论文指导教师,2015-06-13 [4]湖南省优秀硕士学位论文指导教师,2016-07-07 [5]全国计算机教育优秀论文评比一等奖,2009-01-16 [6]本科教学质量优秀奖,2013-01-16 [7]本科教学质量优秀奖,2014-01-16 [8]校级优秀本科毕业论文(设计)指导老师,2009-07-16 [9]校级优秀本科毕业论文(设计)指导老师,2010-07-16 [10]校级优秀本科毕业论文(设计)指导老师,2013-07-16 获奖信息 [1]教育部新世纪优秀人才|2012 [2]湖南省科技进步二等奖“广域网加速关键技术研究及应用”(6/9)|2011 [3]茅以升专项奖科研奖|2014,李敏 [4]Curriculum Initiative on Parallel and Distributed Computing, EarlyAdopter Award|2012 [5]IEEE TCPP/NSF “Early Adopter Award”, 2011 [6]ISBRA2011 NSF Travel Award [7]湖南省骨干青年教师培养对象|2011 [8]2011 IEEE BIBM Travel Award [9]教育部科技成果“网间加速网关的研究及应用”(第6完成者)|2010 [10]教育部科技成果“基于服务模式的Web服务器安全监测系统”(第8完成者)|2010

研究领域

[1] 基因组数据分析与组装; 蛋白质功能及蛋白质复合物预测; 复杂生物网络分析、; 疾病相关基因、miRNA、lncRNA预测; 医疗大数据分析

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

[1]Min Li*, Jie Yang, Fang-Xiang Wu, Yi Pan,Jianxin Wang*.DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization. Bioinformatics. 2018. DOI: 10.1093/bioinformatics/btx821 [2]Lin Wu, Min Li, Jianxin Wang,Fang-Xiang Wu.CytoCtrlAnalyser: a Cytoscape app for biomolecular network controllability analysis. Bioinformatics, 2017. doi.org/10.1093/bioinformatics/btx764 [3]Huimin Luo, Min Li, Shaokai Wang, Quan Liu, Yaohang Li, Jianxin Wang.Computational Drug Repositioning using Low-Rank Matrix Approximation and Randomized Algorithms. Bioinformatics [4]Min Li*, Ruiqing Zheng, Yaohang Li, Fang-Xiang Wu,Jianxin Wang*.MGT-SM: A Method for Constructing Cellular Signal Transduction Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI: 10.1109/TCBB.2017.2705143 [5]Min Li*, Peng Ni, Xiaopei Chen, Jianxin Wang,Yi Pan.Construction of refined protein interaction network for predicting essential proteins. IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI: 10.1109/TCBB.2017.2665482 [6]Jin Liu, Min Li, Wei Lan, Fangxiang Wu, Yi Pan, Jianxin Wang*.Classification of Alzheimer’s Disease Using Whole Brain Hierarchical Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. http://dx.doi.org/10.1109/TCBB.2016.2635144 [7]Wei Lan, Jianxin Wang, Min Li, Jin Liu, Fangxiang Wu, Yi Pan.Predicting microRNA-disease associations based on improved microRNA and disease similarities". IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI:10.1109/TCBB.2016.2586190 [8]Junwei Luo, Jianxin Wang, Juan Shang, Huimin Luo, Min Li, Fangxiang Wu,Yi Pan.GapReduce: a gap filling algorithm based on partitioned read sets. IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI: 10.1109/TCBB.2018.2789909 [9]Min Li*, Dongyan Li, Yu Tang, FangXiang Wu,Jianxin Wang.CytoCluster: a cytoscape plugin for cluster analysis and visualization of biological networks. Int. J. Mol. Sci. 2017, 18, 1880; doi:10.3390/ijms18091880 [10]Min Li*, Zhongxiang Liao, Yiming He, Jianxin Wang, Junwei Luo,Yi Pan.ISEA: iterative seed-extension algorithm for de novo assembly using paired-end information and insert size distribution. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017,14(4):916-925 [11]Min Li, Ping Huang, Xiaodong Yan, Lingchen Zhao, Jianxin Wang, Fang-Xiang Wu,Yi Pan.VAliBS: a visual aligner for bisulfite sequences. BMC Bioinformatics 2017 18(Suppl 12):410 [12]Min Li, Binbin Wu, XiaodongYan, Fang-Xiang Wu, Yi Pan, Jianxin Wang*.PECC: correcting contigs based on paired-end read distribution. Computational Biology and Chemistry, 2017, 69:178-184 [13]Min Li, Yu Lu, Zhibei Niu, Fangxiang Wu.United complex centrality for identification of essential proteins from PPI networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017, 14(2): 370-380 [14]Wei Peng, Min Li*, Lu Chen,Lusheng Wang.Predicting protein functions by using unbalanced random walk algorithm on three biological networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017, 14(2):360-369 [15]Wei Lan, Min Li, Kaijie Zhao, Jin Liu, Fangxiang Wu, Yi Pan, Jianxin Wang*.LDAP: a web server for lncRNA-disease association prediction. Bioinformatics, 2017, 33(3): 458-460 [16]Junwei Luo, Jianxin Wang, Zhen Zhang, Min Li, Fang-Xiang Wu,Yi Pan.BOSS: a novel scaffolding algorithm based on optimized scaffold graph. Bioinformatics, 2017, 33(2):169-176 [17]Jianxin Wang, Yi Pan..Guest Editors Introduction to the Special Section on ISBRA 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017, 14(2): 314-315 [18]Jin Liu, Min Li, Yi Pan, Fangxiang Wu, Xiaogang Chen, Jianxin Wang*.Classification of Schizophrenia Based on Individual Hierarchical Brain Networks Constructed From Structural MRI Images. IEEE Transactions on NanoBioscience, 2017, 16(7): 600-608 [19]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. Volume 2017, Article ID 8362741, 27 pages [20]Lin Wu, Lingkai Tang, Min Li, Jianxin Wang,Fang-Xiang Wu.Biomolecular Network Controllability With Drug Binding Information. IEEE Transactions on Nanobioscience. 2017, 16(5): 326-332 [21]Jiancheng Zhong, Jianxin Wang, Xiaojun Ding, Zhen Zhang, Min Li, Fang-Xiang Wu, Yi Pan..Protein Inference from the Integration of Tandem MS Data and Interactome Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2017, 14(6): 1399-1409 [22]Jin Liu, Min Li, Wei Lan, Fangxiang Wu, Yi Pan, Jianxin Wang.Classification of Alzheimer’s Disease Using Whole Brain Hierarchical Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. http://dx.doi.org/10.1109/TCBB.2016.2635144 [23]Min Li, Yu Tang, Xuehong Wu, Jianxin Wang*, Fang-Xiang Wu, Yi Pan.C-DEVA: detection, evaluation, visualization and annotation of clusters from biological networks. Biosystems, 2016,150:78-86. DOI 10.1016/j.biosystems.2016.08.004 [24]Min Li, Ruiqing Zheng, Qi Li, Jianxin Wang, Fangxiang Wu, Zhuohua Zhang.Prioritizing Disease Genes by Using Search Engine Algorithm. Current Bioinformatics, 2016, 11(2): 195-202. DOI: 10.2174/1574893611666160125220905 [25]Min Li, Zhibei Niu, Xiaopei Chen, Ping Zhong*, Fang-Xiang Wu, Yi Pan.A reliable neighbor-based method for identifying essential proteins by integrating gene expressions, orthology, and subcellular localization information. TSINGHUA SCIENCE AND TECHNOLOGY, 2016, 12(6): 668-677 [26]Gaoshi Li, Min Li*, Jianxin Wang*, Fang-Xiang Wu,Yi Pan.Predicting essential proteins based on subcellular localization, orthology and PPI networks. BMC Bioinformatics. Vol 17 Suppl, 2016. DOI: 10.1186/s12859-016-1115-5 [27]Sheng-You Huang, Min Li, Jianxin Wang,Yi Pan.HybridDock: a hybrid protein-ligand docking protocol integrating protein- and ligand-based approaches. J. Chem. Inf. Model. DOI: 10.1021/acs.jcim.5b00275. 2015 [28]Junwei Luo, Jianxin Wang, Zhen Zhang, Min Li, Fang-Xiang Wu,Yi Pan..BOSS: a novel scaffolding algorithm based on optimized scaffold graph. Bioinformatics. DOI: 10.1093/bioinformatics/btw597 [29]Wei Lan, Jianxin Wang, Min Li, Jin Liu, Fangxiang Wu, Yi Pan.Predicting microRNA-disease associations based on improved microRNA and disease similarities". IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI:10.1109/TCBB.2016.2586190 [30]Ashraf Yaseen, Mais Nijim, Brandon Williams, Lei Qian, Min Li, Jianxin Wang,Yaohang Li.FLEXc: protein flexibility prediction using context-based statistics, predicted structural features, and sequence information. BMC Bioinformatics. Vol 17 Suppl, 2016. DOI: 10.1186/s12859-016-1117-3 [31]Huimin Luo, Jianxin Wang, Min Li, Junwei Luo, Xiaoqing Peng, Fangxiang Wu, Yi Pan.Drug repositioning based on comprehensive similarity measures and Bi-Random Walk algorithm. Bioinformatics. DOI: 10.1093/bioinformatics/btw228 [32]Bihai Zhao, Jianxin Wang*, Min Li*, Xueyong Li, Yaohang Li, Fang-Xiang Wu, Yi Pan.A new method for predicting protein functions from dynamic weighted interactome networks, IEEE Transactions on Nanobioscience. DOI: 10.1109/TNB.2016.2536161 [33]Jiancheng Zhong, Jianxin Wang, Xiaojun Ding, Zhen Zhang, Min Li, Fang-Xiang Wu, Yi Pan.Protein Inference from the Integration of Tandem MS Data and Interactome Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics.DOI 10.1109/TCBB.2016.2601618 [34]Bolin Chen, Xuequn Shang, Min Li, Jianxin Wang,Fang-Xiang Wu*.Identifying individual-cancer-related genes by re-balancing the training samples. IEEE Transactions on Nanobioscience. DOI: 10.1109/TNB.2016.2553119 [35]Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yaohang Li, Fangxiang Wu, Yi Pan.Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing, 2016, DOI: 10.1016/j.neucom.2016.03.080 [36]Lin Wu, Min Li, Jianxin Wang,Fang-Xiang Wu.The minimum steering node set of complex networks and its applications to biomolecular networks. IET Systems Biology, 2016, 10(3):116-23. 2016 Jun [37]Jianxin Wang, Min Li, Zuguo Yu.Nonlinear Science and Network Methods For Prediction Problems In Bioinformatics And Systems Biology. Current Bioinformatics. 2016, 11(2):154-155 [38]Min Li, Yu Lu, Zhibei Niu, Fangxiang Wu.United complex centrality for identification of essential proteins from PPI networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI 10.1109/TCBB.2015.2394487 [39]Wei Peng, Min Li*, Lu Chen,Lusheng Wang.Predicting protein functions by using unbalanced random walk algorithm on three biological networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10.1109/TCBB.2015.2394314 [40]Yu Tang, Min Li*, Jianxin Wang, Yi Pan, Fang-Xiang Wu..CytoNCA: a cytoscape plugin for centrality analysis and evaluation of biological networks. BioSystems, 2015, 127: 67-72. DOI: 10.1016/j.biosystems.2014.11.005 [41]Min Li, Ruiqing Zheng, Qi Li, Fangxiang Wu, Zhuohua Zhang.Prioritizing Disease Genes By Using Search Engine Algorithm. Current Bioinformatics [42]Xiaojun Ding, Min Li*, Haihua Gu, Zhen Zhang,Fangxiang Wu..Detecting SNP combinations discriminating human populations from HapMap data. IEEE Transactions on Nanobioscience, DOI (identifier) 10.1109/TNB.2015.2391134, 2015 [43]Wooyoung Kim, Min Li*, Jianxin Wang,Yi Pan.Detection of Essential Proteins in a PPI Network with Network Motif and Gene Ontology. Int. J. DataMing and Bioinformatics [44]Jun Ren, Jianxin Wang, Min Li, Fangxiang Wu.Discovering essential proteins based on PPI network and protein complex. Int. J. DataMing and Bioinformatics [45]Gamage Upeksha Ganegoda, Min Li, Weiping Wang,Qilong Feng*.Heterogeneous Network Model to Infer Human Disease-Long Non Coding RNA Associations. IEEE Transactions on Nanobioscience, DOI (identifier) 10.1109/TNB.2015.2391133,2015 [46]Lin Wu, Yichao Shen, Min Li,Fang-Xiang Wu.Network Output Controllability-Based Method for Drug Target Identification. IEEE Transactions on Nanobioscience. DOI (identifier) 10.1109/TNB.2015.2391175, 2015 [47]Xiaoqing Peng, Jianxing Wang, Zhen Zhang, Qianghua Xiao, Min Li,Yi Pan.Re-alignment of the unmapped reads with base quality score. BMC Bioinformatics, 2015, 16(Suppl 5):S8 [48]Weijie Chen, Min Li*, Xuehong Wu,Jianxin Wang.Identifying protein complexes based on the integration of PPI network and gene expression data. Int. J. Bioinformatics Research and Applications, 2015, Vol. 11, No. 1, pp.30–44 [49]Min Li, Ruiqing Zheng, Hanhui Zhang, Jianxin Wang,Yi Pan.Effective identification of essential proteins based on priori knowledge, network topology and gene expressions. Methods,2014,67(3):325-333 [50]Min Li, Yu Lu, Jianxin Wang, Fang-Xiang Wu, Yi Pan.A topology potential-based method for identifying essential proteins from PPI networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI 10.1109/TCBB.2014.2361350, 2014 [51]Min Li, Weijie Chen, Jianxin Wang, Fang-Xiang Wu,Yi Pan.Identifying dynamic protein complexes based on gene expression profiles and PPI Networks. BioMed Research International. Volume 2014 (2014), Article ID 375262, 10 pages [52]Min Li, Jiayi Zhang, Qing Liu, Jianxin Wang, Fang-Xiang Wu.Prediction of disease-related genes based on weighted tissue-specific network by using DNA methylation. BMC Medical Genomics, 2014, 7(Suppl 2):S4 [53]Min Li, Qi Li, Gamage Upeksha Ganegoda, Jianxin Wang, FangXiang Wu,Yi Pan.Prioritization of orphan disease-causing genes using topological feature and GO similarity between proteins in interaction networks. SCIENCE CHINA Life Sciences. Sci China Life Sci, 2014, 57:1064–1071 [54]Qiling Li, Min Li, Li Ma, Wenzhi Li, Xuehong Wu, Jendai Richards, Guoxing Fu, Wei Xu.Tameka Bythwood, Xu Li, Jianxin Wang, Qing Song. A Method to Evaluate Genome-wide Methylation in Archival Formalin-fixed, Paraffin-embedded Ovarian Epithelial Cells. Plos ONE, 2014, 9(8): e104481 [55]Bolin Chen, Min Li, Jianxin Wang, Fang-Xiang Wu.Disease gene identification by using graph kernels and Markov random fields. Sci China Life Sci, 2014, 57(11): 1054-1063 [56]Junwei Luo, Jianxin Wang , Zhen Zhang, Fang-Xiang Wu, Min Li,Yi Pan..EPGA: de novo assembly using the distributions of reads and insert size. Bioinformatics, doi:10.1093/bioinformatics/btu762, 2014 [57]Xiwei Tang, Jianxin Wang, Min Li, Yiming He,Yi Pan..A Novel Algorithm for Detecting Protein Complexes with the Breadth First Search. BioMed Research International, Volume 2014 (2014), Article ID 354539, 8 pages [58]Bihai Zhao, Jianxin Wang, Min Li, Fang-xiang Wu,Yi Pan.Detecting Protein Complex Based on Uncertain Graph Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014, 11(3): 486-497 [59]Bihai Zhao, Jianxin Wang, Min Li, Fang-xiang Wu, Yi Pan.Prediction of essential proteins based on overlapping essential modules. IEEE Transactions on Nanobioscience, 2014,13(4):1-10 [60]Bolin Chen, JianXin Wang, Min Li,FangXiang Wu.Identifying disease genes by integrating multiple data sources, BMC Medical Genomics, 2014, 7(Suppl 2):S2 [61]Gamage Upeksha Ganegoda, JianXin Wang , Fang-Xiang Wu, Min Li.Prediction of disease genes using tissue-specified gene-gene network. BMC Systems Biology, 2014, 8(Suppl 3):S3 [62]Wei Peng, Jianxin Wang, Juan Cai, Lu Chen, Min Li, Fangxiang Wu.Improving protein function prediction using domain and protein complexes in PPI networks. BMC Systems Biology, 2014,8:35 [63]Jianxin Wang, Jiancheng Zhong, Gang Chen, Min Li, Yi Pan.ClusterViz: a Cytoscape APP for Clustering Analysis of Biological Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI 10.1109/TCBB.2014.2361348, 2014 [64]Jin Liu, Min Li, Jianxin Wang*, Fangxiang Wu, Tianming Liu,Yi Pan.Survey of MRI-Based Brain Tumor Segmentation Methods. TSINGHUA SCIENCE AND TECHNOLOGY, 2014, 19(6):578-595 [65]Min Li, Xuehong Wu, Yi Pan,Jianxin Wang*.hF-measure: a new measurement for evaluating clusters from protein interaction networks, PROTEOMICS, 2013, 13(2):291-300 [66]Min Li, Jianxin Wang, Huan Wang,Yi Pan.Identification of Essential Proteins from Weighted Protein Interaction Networks. J Bioinform Comput Biol 2013, 11(3): 1341002, [67]Jun Ren, Jianxin Wang, Min Li, Lusheng Wang.Identifying protein complexes based on density and modularity in Protein-Protein Interaction Network. BMC Systems Biology. 2013, 7(Suppl 4):S12 [68]Qiling Li, Ting Kang, Xiaohua Tian, Yamin Ma, Min Li, Jendai Richards, Tameka Bythwood, Yueling Wang.Xu Li, Dong Liu,Li Ma, Qing Song. Multimeric Stability of Human C-reactive Protein in Archived Specimens. PLoS ONE, 2013, 8(3): e58094 [69]Jianxin Wang, Xiaoqing Peng, Min Li, Yi Pan.Construction and application of dynamic protein interaction network based on time course gene expression data. PROTEOMICS, 2013, 13(2):301-312 [70]Jianxin Wang, Xiaoqing Peng, Qianghua Xiao, Min Li,Yi Pan.An effective method for re?ning predicted protein complexes based on protein activity and the mechanism of protein complex formation. BMC Systems Biology, 2013, 7:28 [71]Murtada Khalafallah Elbashir, Yu Sheng, Jianxin Wang, Fangxiang Wu, Min Li.Predicting Beta-turns in Protein Using Kernel Logistic Regression. BioMed Research International. Volume 2013 (2013), Article ID 870372, 9 pages [72]Min Li, Hanhui Zhang, Jianxin Wang,Yi Pan.A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data, BMC Systems Biology, 2012, 6:15 [73]Min Li, Xuehong Wu, Jianxin Wang,Yi Pan.Towards the identification of protein Complexes and Functional Modules by integrating PPI network and gene expression data. BMC Bioinformatics, 2012, 13:109 [74]Jianxin Wang, Min Li, Huan Wang, Yi Pan.Identification of Essential Proteins Based on Edge Clustering Coefficient. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012, 9(4):1070-1080 [75]Jianxin Wang, Gang Chen, Binbin Liu, Min Li, Yi Pan.Identifying Protein Complexes from Interactome Based on Essential Proteins and Local Fitness Method, IEEE Transactions on Nanobioscience, 2012, 11(4):324-335 [76]Jianxin Wang, Jun Ren, Min Li, Fangxiang Wu.Identification of hierarchical and overlapping functional modules in PPI networks. IEEE Transactions on NanoBioscience 2012, 11(4):386-393 [77]Min Li, Jianxin Wang, Xiang Chen, Huan Wang,Yi Pan.A local average connectivity-based method for identifying essential proteins from the network level. Computational Biology and Chemistry 35 (2011), pp. 143-150 [78]Jianxin Wang, Min Li*, Jian’er Chen,Yi Pan.A fast hierarchical clustering algorithm for functional modules discovery in protein interaction networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2011, 8(3):607-620 [79]Xiwei Tang, Jianxin Wang, Binbin Liu, Min Li*, Gang Chen, Yi Pan.A comparison of the functional modules identified from time course and static PPI network data. BMC Bioinformatics, 2011, 12:339 [80]Wooyoung Kim, Min Li*, Jianxin Wang, Yi Pan.Biological Network Motif Detection and Evaluation. BMC Systems Biology 2011, 5(Suppl 3):S5 [81]Jianxin Wang, Gang Chen, Min Li, Yi Pan.Integration of Breast Cancer Gene Signatures based on Graph Centrality. BMC Systems Biology 2011, 5(Suppl 3):S10 [82]Ziyang Chen, Zhao Cai, Min Li*, Binbin Liu.Using search engine technology for protein function prediction.Int. J. Bioinformatics Research and Applications,2011,7(1): 101-113 [83]Min Li, Jianxin Wang, Jianer Chen, Zhao Cai,Gang Chen.Identifying the Overlapping Complexes in Protein Interaction Networks:Int. J. DataMing and Bioinformatics, 2010, 4(1):91 [84]Min Li, Jianxin Wang, Jianer Chen, Zhao Cai,Gang Chen.Identifying the Overlapping Complexes in Protein Interaction Networks.[J]:Int. J. DataMing and Bioinformatics, 2010, 4(1):91 [85]Jianxin Wang, Min Li*, Youping Deng, Yi Pan.Recent Advances in Clustering Methods for Protein Interaction Networks.[J]:BMC Genomics 2010, 11(Suppl 3),2010 [86]Jianxin Wang, Binbin Liu, Min Li*,Yi Pan.Identifying protein complexes from interaction networks based on clique percolation and distance restriction.[J]:BMC Genomics, Volume 11, Suppl 2, S10.,2008 [87]Min Li, Jianxin Wang, Jian’er Chen,Yi Pan.Hierarchical organization of functional modules in weighted protein interaction networks using clustering coefficient.[J]:Lecture Notes in Bioinformatics 5542, 75-86,2008 [88]Min Li, Jian’er Chen, Jianxin Wang, Bin Hu,Gang Chen..Modifying the DPClus algorithm for identifying protein complexes based on new topological structures.[J]:BMC Bioinformatics, 2008, 9:398.,2008

学术兼职

[1] Iore Journal of Bioinformatics & Computational Biology 编委 [2] Interdisciplinary Sciences: Computational Life Sciences 编委 [3] International Journal of Bioinformatics Research and Applications 编委 [4] Zhipeng Cai, Alexander Zelikovsky, Pavel Skums and Min Li. Guest Editors of IEEE/ACM Transactions on Computational Biology and Bioinformatics Guest editor [5] FangXiang Wu, Min Li. Deep Learning for Biological/Clinical Data. Neurocomputing Guest editor [6] Quan Zou, Min Li. Molecules Guest Editors [7] Jianxin Wang, Min Li, Zuguo Yu. Nonlinear Science And Network Methods For Prediction Problems In Bioinformatics And Systems Biology. Current Bioinformatics. 2015 Guest editor [8] BMC Genomics –ISBRA2014 Min Li, Jianxin Wang, Fangxiang Wu Guest Editor [9] BMC Bioinformatics –ISBRA2014 Min Li, Jianxin Wang, Fangxiang Wu Guest Editor [10] Fangxiang Wu, Min Li, Jishou Ruan, Feng Luo. Systems biology approaches to mining high throughput biological data. BioMed Research International. Biological Data Volume 2015, Article ID 504362, 2 pages. http://dx.doi.org/10.1155/2015/504362 Guest Editor [11] Jianer Chen, Min Li and Jianxin Wang. Special Issue on International Bioinformatics. International Journal of Bioinformatics Research and Applications, 2013 Vol. 9 No. 1. [12] Int. J. DataMing and Bioinformatics Guest Editor [13] ISBRA2017 General Chair/ Program Chair [14] ICPCSEE2017 Program Chair [15] CBC2017 Program Chair [16] BNHD2016 (Biomolecular Networks and Human Diseases) Program Chair [17] BDACCB2016 (Big data and cloud computing in bioinformatics) Program Chair [18] ISBRA2014 Publication Chair [19] KIPS-CSWRG (http://www.kips-cswrg.org) Publication Chair [20] The Ninth International Conference on Intelligent Computing (ICIC2013) July 28–31, 2013 in Nanning, China Publication Chair

推荐链接
down
wechat
bug