• DocumentCode
    2098238
  • Title

    Single Linkage Clustering Fit for Establishing Theoretical MAPK/Erk Signaling Pathway in Human Soft Tissue Sarcoma Samples

  • Author

    Zhang Jinling ; Lu Yinghua ; Wang Lin ; Zhang Hongxin ; Li Rongrong ; Wang Lin ; Wolfl, Stefan

  • Author_Institution
    Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The aim of this research is to use and compare clustering technologies and And the best method for establishing theoretical MAPK/Erk signaling pathway in human soft tissue sarcoma samples. We use and compare centroid linkage, single linkage, complete linkage, average linkage hierarchical clustering to arrange genes to setup signaling pathways according to similarity in pattern of gene. Our results show that only single linkage clustering architecture is consistent with the core unit of the cascade composed of from a RAF1, a MAPKK (MEK1/2) to MAPK (Erk). An activated Erk phosphorylates a variety of transcription factors regulating gene expression, such as Elkl. This study implies that single linkage clustering fit for establishing theoretical MAPK/Erk signaling pathway in human soft tissue sarcoma samples which is consistent with biological experimental MAPK/Erk signaling pathway.
  • Keywords
    bioinformatics; biological tissues; genetics; molecular biophysics; pattern clustering; activated Erk phosphorylates; centroid linkage; gene expression; human soft tissue sarcoma samples; single linkage; single linkage clustering architecture; theoretical MAPK-Erk signaling pathway; Amino acids; Bioinformatics; Biological tissues; Clustering algorithms; Couplings; Data analysis; Gene expression; Humans; Information analysis; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4132-7
  • Electronic_ISBN
    978-1-4244-4134-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2009.5301980
  • Filename
    5301980