• DocumentCode
    3615225
  • Title

    Stochastic simulation and parameter estimation of enzyme reaction models

  • Author

    Xueying Zhang;K. De Cock;M.F. Bugallo;P.M. Djuric

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stony Brook Univ., NY, USA
  • fYear
    2003
  • fDate
    6/25/1905 12:00:00 AM
  • Firstpage
    518
  • Lastpage
    521
  • Abstract
    The development of models and estimators that can satisfactorily describe enzyme reactions are extremely valuable to understand life processes. In this paper, the problem of modeling and parameter estimation of enzyme reactions from a stochastic perspective is addressed. The simulation results show that obtained estimators are adequate and accurate enough for this type of systems.
  • Keywords
    "Stochastic processes","Parameter estimation","Biochemistry","Chemicals","Biological system modeling","White blood cells","Computational modeling","Life estimation","Humans","Microorganisms"
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2003 IEEE Workshop on
  • Print_ISBN
    0-7803-7997-7
  • Type

    conf

  • DOI
    10.1109/SSP.2003.1289461
  • Filename
    1289461
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3615225