• DocumentCode
    471647
  • Title

    Computation Intelligent for Eukaryotic Cell-Cycle Gene Network

  • Author

    Wu, Shinq-Jen ; Wu, Cheng-Tao ; Lee, Tsu-Tian

  • Author_Institution
    Dept. of Electr. Eng., Da-Yeh Univ., Chang-Hwa
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    2017
  • Lastpage
    2020
  • Abstract
    Computational intelligent approaches is adopted to construct the S-system of eukaryotic cell cycle for further analysis of genetic regulatory networks. A highly nonlinear power-law differential equation is constructed to describe the transcriptional regulation of gene network from the time-courses dataset. Global artificial algorithm, based on hybrid differential evolution, can achieve global optimization for the highly nonlinear differential gene network modeling. The constructed gene regulatory networks will be a reference for researchers to realize the inhibitory and activatory operator for genes synthesis and decomposition in Eukaryotic cell cycle
  • Keywords
    cellular biophysics; genetics; molecular biophysics; nonlinear differential equations; optimisation; parameter estimation; S-system; decomposition; eukaryotic cell-cycle gene network; gene synthesis; global optimization; hybrid differential evolution; nonlinear differential gene network modeling; nonlinear power-law differential equation; parameter estimation; transcriptional regulation; Cities and towns; Competitive intelligence; Computer networks; DNA; Differential equations; Genetic programming; Intelligent networks; Network synthesis; Power system modeling; Proteins; S system; cell cycle; hybrid differential evolution; parameter estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260339
  • Filename
    4462180