期刊文献+

机器学习方法及其在生物信息学中的应用 被引量:1

Machine Learning Approaches and Their Application in Bioinformatics
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摘要 分析了机器学习技术的内容,介绍了生物信息学的内涵和新的应用技术,同时探索了机器学习技术对生物信息挖掘应用的途径.这些方法有助于加速生物分子结构预测、基因发现、基因组学和蛋白组学等方面研究的进展. This paper outlines machine learning contents and research methods, introduces the content of bioinformatics and the new applied technique, introduces and scoops out the applied path to bioinformation mining at the same time. These approaches help to accelerate several major researches (biomolecular structure prediction, gene finding, genomics and protemics).
作者 张震 李军利
出处 《吉首大学学报(自然科学版)》 CAS 2006年第4期28-32,共5页 Journal of Jishou University(Natural Sciences Edition)
关键词 机器学习 生物信息学 学习方法 数据库 基因 machine learning bioinformatics learning methods database gene
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参考文献5

  • 1张春霆.生物信息学的现状与展望[J].世界科技研究与发展,2000,22(6):17-20. 被引量:74
  • 2SU S.Application of Knowledge Discovery to Molecular Biology:Identifying Structural Regularities in Proteins[A].Proceedings of the Pacific Symposium on Biocomputing[C].Singapore:World Scientific Press,1999.
  • 3周海廷.机器学习与生物信息学[J].信息与控制,2003,32(4):352-357. 被引量:4
  • 4ATTWOOD T K.The Babel of Bioinformatics[J].Science,2000,290:471-473.
  • 5LINCOLN STEIN.Creating a Bioinformatics Nation[J].Nature,2002,417:119-120.

二级参考文献16

  • 1Benson D A, et al. GenBank [ J ]. Nuclei Acids Research.2000, 28:15 -18.
  • 2Backofen R, Gilbert D. Bioinformatics and constraints [ J]. Constraints, 2001,6: 141 -156.
  • 3Stormo G, et al. Use of the perceptron algorithm to distinguish translational initiation in E. coli [ J ]. Nuclei Acids Research,1982,10:2997 -3011.
  • 4Su S, et al. Application of knowledge discovery to molecular biology : identifying structural regularities in proteins [ A ]. Proceedings of the Pacific Symposium on Biocomputing [C]. 1999. 190-201.
  • 5Gilbert D, et al. Topology-based protein structure comparison using a pattern discovery technique [ A]. Proceedings of the AISB-00 Symposium on AI in Bioinformatics [C]. 2000. 11 -17.
  • 6Zweiger G. Knowledge discovery in gene-expression microarray data: mining the infonnation output of the genome [ J ] . Trends in Biotechnology, 1999, 17 : 429 - 436.
  • 7Salzberg S. Locating protein coding regions in human DNA using a decision tree algorithm[J]. J. Comp. Biol, 1995,2:473 -485.
  • 8Selbig J, et al. Decision tree-based formation of consensus protein secondary structure prediction [ J ]. Bioinformatics, 1999,15 :1039 - 1046.
  • 9Cai D, et al. Modeling splice sites with Bayes networks [ J ],Bioinformatics, 2000,16 : 152 - 158.
  • 10Schmidler S C. Bayesian segmentation of protein secondary structure [J]. J. Comp. Biol, 2000,7:233 -248.

共引文献74

同被引文献3

  • 1Emanuela Merelli,Giuliano Armano,Nicola Cannata. Agents in bioinformatics,computational and systems biology[J].Briedings in Bioinformatics,2006,(01):45-49.
  • 2Don Gilbert. Bioinformatics software resources[J].Briedings in Bioinformatics,.
  • 3王发生,毛君莲.生命科学时代的生物信息学[J].中国现代医学杂志,2000,10(12):108-109. 被引量:6

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