• DocumentCode
    3312370
  • Title

    Meta-analysis and Network Analysis of Five Ovarian Cancer Gene Expression Dataset

  • Author

    Dong, Hua ; Hong, Shengjun ; Xu, Xiaomin ; Xiao, Yanghua ; Jin, Li ; Xiong, Momiao

  • Author_Institution
    State Key Lab. of Genetic Eng., Fudan Univ., Shanghai, China
  • Volume
    1
  • fYear
    2010
  • fDate
    28-31 May 2010
  • Firstpage
    242
  • Lastpage
    246
  • Abstract
    Ovarian cancer is the fifth leading cause of death from cancer in women and the leading cause of death from gynecological cancer. Here we present a meta-analysis of five gene expression data sets of 432 ovarian cancer and 42 adjacent normal samples in total. We indentified 3 genes: NDN, RNASE4, IGFBP4 were significantly differentially expressed in both five data sets. After combined the dataset by meta-analysis, 3722 genes were significant (p-value
  • Keywords
    Biological information theory; Biomedical computing; Cancer; Computer networks; Computer science; Gene expression; Genetic engineering; Laboratories; Neoplasms; Proteins; co-expression network; meta-analysis; microarray; ovarian cancer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
  • Conference_Location
    Huangshan, Anhui, China
  • Print_ISBN
    978-1-4244-6812-6
  • Electronic_ISBN
    978-1-4244-6813-3
  • Type

    conf

  • DOI
    10.1109/CSO.2010.245
  • Filename
    5533001