• DocumentCode
    2442782
  • Title

    Analysis of order preserving genes biclusters

  • Author

    Tchagang, Alain B. ; Tewfik, Ahmed H. ; Skubitz, Amy P N

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN
  • fYear
    2006
  • fDate
    28-30 May 2006
  • Firstpage
    101
  • Lastpage
    102
  • Abstract
    In this paper, we describe an approach for finding all order preserving genes biclusters from a set of DNA microarray experimental data that combines the algorithm that finds biclusters with constant values on columns developed in one of our previous study with an adaptive gene expression level quantization procedure. All the biclusters discovered with the proposed methodology have no imperfections and, the complexity of the algorithm is shown to be lower than that of previous approaches. Application of the method to ovarian cancer data seems to reveal significant local pattern.
  • Keywords
    DNA; biology computing; data analysis; genetics; matrix algebra; molecular biophysics; pattern clustering; DNA microarray experimental data set; adaptive gene expression level quantization; order preserving gene bicluster analysis; rank order matrix; Cancer; Cost function; DNA computing; Data engineering; Diseases; Drugs; Gene expression; Pathology; Quantization; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics, 2006. GENSIPS '06. IEEE International Workshop on
  • Conference_Location
    College Station, TX
  • Print_ISBN
    1-4244-0384-7
  • Electronic_ISBN
    1-4244-0385-5
  • Type

    conf

  • DOI
    10.1109/GENSIPS.2006.353176
  • Filename
    4161797