• DocumentCode
    1682382
  • Title

    A clustering method of chromosome fluorescence profiles using self organizing map

  • Author

    Douzono, Hiroshi ; Hara, Shigeomi ; Kuriyama, Yoshiharu ; Tokushima, Hisao ; Noguchi, Yoshio

  • Author_Institution
    Fac. of Sci. & Eng., Saga Univ., Japan
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1080
  • Lastpage
    1085
  • Abstract
    The clustering method by the self-organizing map algorithm of chromosome profiles measured by slit-scan flowcytometer is proposed. Chromosome profile represents the distribution of the fluorescence intensities along the lengthwise. To examine the performance of the cytometer developed in our laboratory, we made clustering experiments of the measured profiles. We developed a SOM based clustering algorithm using chromosome physical model, which can estimate the chromosome models and rotation angles, but the results were considered to be not complete. For this problem, we propose a new algorithm, which estimate the models and rotation angles step by step. We examine our algorithm using the virtual profiles and profiles measured by our cytometer
  • Keywords
    biology computing; biomedical equipment; cellular biophysics; genetics; pattern clustering; self-organising feature maps; virtual reality; chromosome fluorescence profiles; clustering; cytometer; fluorescence intensity; rotation angles; self organizing map; slit-scan flowcytometer; virtual profiles; Bioinformatics; Biological cells; Clustering algorithms; Clustering methods; Fluorescence; Genomics; Laboratories; Organizing; Sequences; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1007644
  • Filename
    1007644