• DocumentCode
    2488069
  • Title

    Microarray image analysis based on an evolutionary approach

  • Author

    Zacharia, Eleni ; Maroulis, Dimitirs

  • Author_Institution
    Dept. Of Inf. & Telecommun., Univ. of Athens, Athens
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Biological conclusions reached during microarray experiments can be greatly affected by human intervention, which is currently required in microarray image analysis. Therefore, accurate and automatic analysis of cDNA microarray images becomes crucial. In this paper, an automatic approach to microarray image analysis is presented. The proposed approach is based on the concept of evolution in order to process the microarray images. Conducted experiments in a set of real microarray images confirm the effectiveness of the proposed approach.
  • Keywords
    biology computing; image processing; biological conclusions; cDNA microarray images; evolutionary approach; microarray image analysis; Degradation; Digital images; Evolution (biology); Humans; Image analysis; Image segmentation; Informatics; Noise shaping; Shape; Software systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761749
  • Filename
    4761749