• DocumentCode
    2987169
  • Title

    A Research for Weighted Gene Co-expression Network Model

  • Author

    Jun Wang ; Weiping Wang ; Wen Liu ; Zhong Zhou ; Xiaoying Wang

  • Author_Institution
    Inst. of Sci., Huazhong Agric. Univ., Wuhan, China
  • fYear
    2012
  • fDate
    7-9 Dec. 2012
  • Firstpage
    770
  • Lastpage
    773
  • Abstract
    In recent years, there is an incredible growth of network methods to explore functionality of genes from the system level. However, most researchers are focused on the unweighted networks. In this paper, a new weighted networks method is established. To evaluate the efficiency of the method, application of the method to screen diabetic candidate pathogenic gene and module recognition are also given.
  • Keywords
    biology computing; complex networks; genetics; diabetic candidate pathogenic gene; module recognition; system level; unweighted networks; weighted gene co-expression network model; Correlation; Diabetes; Educational institutions; Gene expression; Network topology; Topology; high quality network; scale-free topology; weighted network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
  • Conference_Location
    Liaoning
  • Print_ISBN
    978-1-4673-4499-9
  • Type

    conf

  • DOI
    10.1109/ICCECT.2012.245
  • Filename
    6413997