• DocumentCode
    1669840
  • Title

    Measuring the Similarity of Co-Regulated Genes by Integrating Quantity and Tendency of Gene Expression Changing

  • Author

    Wang, Han ; Zhou, Chunguang ; Ming Zheng ; Shanhong Zheng ; Guixia Liu ; Lei Liu ; Li, Yanwen

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun
  • fYear
    2008
  • Firstpage
    1896
  • Lastpage
    1900
  • Abstract
    This paper defines a new correlation coefficient SMBS which using both quantity and tendency in gene expression changing to measure the similarity among genes. The SMBS applies to K-means clustering algorithm and the result shows more co-regulated genes are found comparing with the CLUSTER3.0.
  • Keywords
    DNA; arrays; biochemistry; biology computing; genetics; molecular biophysics; pattern clustering; statistical analysis; DNA microarray technologies; K-means clustering algorithm; co-regulated genes similarity; correlation coefficient SMBS; gene expression quantity; gene expression tendency; Clustering algorithms; Computer science; Distance measurement; Educational institutions; Euclidean distance; Fungi; Gene expression; Paper technology; Regulators; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.803
  • Filename
    4535683
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1669840