首页 | 团队介绍 | 论文与著作 | 课题与项目 | 资源与下载 | 新闻动态 | 合作交流 | 学术论坛 
论文与著作

 生物信息学 
 网络算法 
 出版著作 
 生物计算 

生物计算
当前位置: 首页>>论文与著作>>生物计算

1. 陈庆锋*,Chen YPP,Zhang CQ. Interval-Based Similarity for Classifying Conserved RNA Secondary Structures, IEEE Intelligent Systems, 31(3): 78-85,2016,SCI(二区),影响因子2.34
2. 陈庆锋*,罗海琼,Chengqi Zhang,Yi-Ping Phoebe Chen ,Bioinformatics in protein kinases regulatory network and drug discovery Mathematical Biosciences,2015,262:147-156。
3. 陈庆锋*,Phoebe Chen,Chengqi Zhang,Effective Classification ofConserved RNA Secondary Structures using Interval Based Similarity,IEEE,Intelligent Systems,2015,99。
4. 陈庆锋,Chen, Ming,Protein Systems Biology: Method, Regulation, and Networks, Current Protein & Peptide Science, 2014, 15(6): 519-521.
5. 陈庆锋*,Hu, Xiaoyan,Chen, Baoshan,Effective Identification of  egative Regulation Patterns of Protein Kinases,IEEE Transactions on NanoBioscience,2013,12(2):98-105。
6. 陈庆锋*, Lan W, Wang JX.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 SCI(二区),影响因子1. 54
7. 陈庆锋*,Yi-PingPhoebe Chen,Discovering Inhibition Pathways for Protein Kinases,IEEE Intelligent Systems,2012,27(5):19-26。
8. 陈庆锋*, Chen YPP. Modeling Conserved Structure Patterns for Functional Noncoding RNA. IEEE Transactions on Biomedical Engineering, 58(6):1528-1533, 2011. SCI(二区), 影响因子 2.35
9. 陈庆锋*, Chen YPP, Function Annotation for Pseudoknot using Structure Similarity. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(6), 1535-1544, 2011. SCI(二区), 影响因子1.54
10. 陈庆锋*,Chen YPP. Mining Protein Kinase Regulation using GraphicalModels. IEEE Transactions on NanoBioscience, 10(1): 1-8, 2011 SCI(三区),影响因子2.31
11. 陈庆锋*, Li G,YPP Chen. Interval-Based Distance Function for Identifying RNA Structure Candidates, Journal of Theoretical Biology, 269(8): 280-286, 2011. (SCI, 三区,影响因子 2.574)
12. 陈庆锋*,Zhang Shichao,Zhong Zhi,Dealing with inconsistent secure messages by weighting majority ,Knowledge-Based Systems,2011,24(6):731-739。
13. 陈庆锋* ,Chen Baoshan,Efficient Strategies for SignallingPathway Mining,Current Protein & Peptide Science,2011,12(7):589-590。
14. 陈庆锋*, Chen YPP, Mining characteristic relations bind to RNA secondary structures,IEEE Transactions on Information Technology Biomedicine. 14(1):10-15, 2010. (SCI, 三区,影响因子 2.2)
15. 陈庆锋*,Chen YPP. Discovery of Structural and Functional Features in RNA Pseudoknots, IEEE Transactions on Knowledge and Data Engineering, 21(7): 974-984, 2009. (SCI, 二区,影响因子 2.3)
16. 陈庆锋*, ChenYPP, Zhang CQ, Detecting Inconsistency in Biological Molecular Databases using Ontology, Data Mining and Knowledge Discovery, 15(2): 275-296, 2007. (SCI, 二区,影响因子 2.95)
17. 陈庆锋*, Chen YPP, Mining frequent patterns for AMP-activated protein regulation on skeletal muscle, BMC Bioinformatics, 7:394, 2006. (SCI, 三区,影响因子 3.62)
18. Lan, Wei,陈庆锋(*),Li, Taoshen,Yuan, Changan,Mann,Scott,Chen, Baoshan,Identification of Important Positions within miRNAs by Integrating Sequential and Structural Features,Current Protein & Peptide Science,2014,15(6):591-597。
19. Zhang, Shichao(*),陈庆锋,Yang, Qiang,Acquiring knowledge from inconsistent data sources through weighting,Data & Knowledge Engineering,2010,69(8):779-799。
20. 赵亮, Grant Guan. Efficient and accurate de novo assembly algorithm for paired-end reads and its application on indel calling. American Society of Human Genetics, San Diego, CA, USA, 18/10/2014-22/10/2014.
21. 赵亮, Limsoon Wong, Steven C.H. Hoi, Jinyan Li. Coupling graphs, efficient algorithms and application in bioinformatics. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014:11(1), pp 7-16.
22. 赵亮, Limsoon Wong, Lanyuan Lu, Steven C.H. Hoi, Jinyan Li. B-cell epitope prediction through a graph model, BMC Bioinformatics, 2012:13(17), p s20.
23. 赵亮, Steven C.H. Hoi, Limsoon Wong, Tobias Hamp, Jinyan Li. Structural and Functional Analysis of Multi-interface Domains. PLoS ONE, 2012:7(12), p e50821.
24. 赵亮, Limsoon Wong, & Jinyan Li.Antibody-Specified B-Cell Epitope Prediction in Line with the Principle ofContext-Awareness.IEEE/ACM Transactions on Computat- ional Biology andBioinformatics,2011:8(6),1483-1494.
25. 赵亮, Jinyan Li. Mining for the Antibody-Antigen Interacting Associations that Predict the B Cell Epitopes, BMC Structural Biology, 2010:10(1), p s6.
26. Quan Zhou, 赵亮, Yuntao Guan. Strong Selection at MHC in Mexicans since Admixture. PLoS Genetics, 2016:12(2)
27. Yin Pang,白琳*& Kaili Bu. An energy model for detecting community in PPI networks[C]. Database and Expert Systems Applications. 2015,Springer. pp:119-127.

 
您是第 位访客
 

版权所有:广西大学生物信息研究组