• DocumentCode
    2849421
  • Title

    Data mining techniques for microarray datasets

  • Author

    Liu, Lei ; Yang, Jiong ; Tung, Anthony K H

  • Author_Institution
    Illinois Univ., Urbana, IL, USA
  • fYear
    2005
  • fDate
    5-8 April 2005
  • Firstpage
    1149
  • Abstract
    Data mining research, which focuses on scalable and effective knowledge discovery from databases, can provide timely solutions for the biologists in these aspects. In this article, we aim to provide platform in which various aspects of microarray data analysis is being introduced. We discuss in layman term how microarray datasets are generated and used in biological research. We use example from the real projects that we participate in to illustrate the potential of different technologies. We also discuss existing data mining tools and methods used for analyzing the microarray data sets and their biological implications. We also offer a wide range of analysis tools that can be applied to microarray gene expression analysis. Finally, we present a set of open problems and future research directions for microarray data analysis.
  • Keywords
    biology computing; data analysis; data mining; genetics; biological research; data mining; knowledge discovery; microarray datasets; microarray gene expression analysis; Bioinformatics; Computer science; Data analysis; Data mining; Databases; Gene expression; Genomics; Monitoring; Organisms; Seminars;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference on
  • ISSN
    1084-4627
  • Print_ISBN
    0-7695-2285-8
  • Type

    conf

  • DOI
    10.1109/ICDE.2005.41
  • Filename
    1410246