• DocumentCode
    3461264
  • Title

    Multiclass Gene Selection on Microarray Data Using l1-norm Least Square Regression

  • Author

    Hang, Xiyi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California State Univ., Northridge, Northridge, CA, USA
  • fYear
    2009
  • fDate
    3-5 Aug. 2009
  • Firstpage
    52
  • Lastpage
    55
  • Abstract
    A new univariate filter method for multiclass gene selection is proposed based on l1-norm least square regression. The numerical experiment shows that the method is, at least, comparable to two popular methods: ANOVA and BSS/WSS.
  • Keywords
    chemical analysis; genetics; least squares approximations; regression analysis; ANOVA; BSS/WSS; l1-norm least square regression; microarray data; multiclass gene selection; univariate filter method; Analysis of variance; Bioinformatics; Biology computing; Data engineering; Filters; Intelligent systems; Least squares methods; Minimization methods; Systems biology; Testing; gene selection; l1-norm; microarray; regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3739-9
  • Type

    conf

  • DOI
    10.1109/IJCBS.2009.76
  • Filename
    5260748
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3461264