• DocumentCode
    1732524
  • Title

    Machine learning in bioinformatics

  • Author

    Zhao Li

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Harbin Normal Univ., Harbin, China
  • Volume
    1
  • fYear
    2011
  • Firstpage
    582
  • Lastpage
    584
  • Abstract
    This article reviews machine learning methods for bioinformatics. Applications in genomics, proteomics, systems biology, evolution and text mining are also shown. It presents the trends of machine learning methods, such as ANNs, SVMs, Random forests and so on.
  • Keywords
    bioinformatics; data mining; genomics; learning (artificial intelligence); neural nets; proteomics; support vector machines; text analysis; ANN; SVM; bioinformatics; genomics; machine learning methods; proteomics; systems biology; text mining; Bioinformatics; Biological system modeling; Computational modeling; Genomics; Markov processes; Predictive models; bioinformatics; machine learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182026
  • Filename
    6182026
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1732524