• DocumentCode
    3483518
  • Title

    A design method of DNA chips using hierarchical self-organizing maps

  • Author

    Douzono, Hiroshi ; Tokushima, Hisao ; Hara, Satoshi ; Noguchi, Yoshio

  • Author_Institution
    Fac. of Sci. & Eng., Saga Univ., Japan
  • Volume
    5
  • fYear
    2002
  • fDate
    18-22 Nov. 2002
  • Firstpage
    2244
  • Abstract
    We introduce a design method of DNA chips using self organizing maps (SOM) and hierarchical self-organizing maps (H-SOM). DNA chips are powerful tools for sequencings and SNP (single nucleotide polymorphism) analyses of DNA sequences. A DNA chip is an array of DNA probes which can be hybridized with complement subsequences in the target sequence. However, conventional DNA chips are showing tendency to be comprised of large number of long probes and get large in size to achieve high resolution. To shrink the size of DNA chips, design method is considered to be important. To solve this problem, we applied SOM to extract common features of DNA sequences using proper number of probes which efficiently cover the target sequence with sufficient resolutions. Furthermore, H-SOM can design the chip comprised of long probes more efficiently than SOM. We have designed some DNA chips from the sequence data in genome database using our SOM and H-SOM algorithm and evaluated the chips by computer simulations of SNP analyses.
  • Keywords
    DNA; biology computing; biomedical equipment; microprocessor chips; self-organising feature maps; DNA chip design; DNA sequences; H-SOM; hierarchical self-organizing maps; single nucleotide polymorphism; Algorithm design and analysis; Bioinformatics; DNA; Data mining; Design methodology; Feature extraction; Genomics; Probes; Self organizing feature maps; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
  • Print_ISBN
    981-04-7524-1
  • Type

    conf

  • DOI
    10.1109/ICONIP.2002.1201892
  • Filename
    1201892