• DocumentCode
    2568319
  • Title

    Construction of time-delay gene network using coherence and cross spectrum evaluation

  • Author

    Cao, Xianghong ; Cui, Guangzhao ; Zhang, Hua

  • Author_Institution
    Informationed Key Lab. of Henan Province, Zhengzhou Univ. of Light Ind., Zhengzhou
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    4280
  • Lastpage
    4284
  • Abstract
    Analysis of gene expression data has become the base of gene network model construction. This facilitates the study of gene behavior in a collective manner. Many methodologies have been applied to construct gene network model. Most of these methods have not utilized the temporal aspects of gene expression data when there are time delays between gene pairs. A scheme has been put forward for time-delay gene network model construction by coherence and cross spectrum method in this paper. Gene expression data were viewed as a set of discrete time series from signal processing perspectives. Principles of power spectrum density and coherence function were introduced. Time-delay estimating method was discussed in detail. Gene network model for selected data set was constructed. The result demonstrates that our method can effectively reduce noise and detect time-delay relations between gene pairs at frequencies with high coherence.
  • Keywords
    biology computing; data analysis; estimation theory; genetics; signal processing; time series; coherence function; cross spectrum evaluation; discrete time series; gene expression data analysis; gene network model construction; power spectrum density; signal processing; time-delay estimating method; time-delay gene network; Coherence; Delay effects; Frequency; Gene expression; Noise reduction; Signal processing; Coherence; Construction; Cross Spectrum Evaluation; Gene Network; Time-delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4598137
  • Filename
    4598137