• DocumentCode
    3755642
  • Title

    Information theory of intercellular signal transduction

  • Author

    Andrew W. Eckford;Peter J. Thomas

  • Author_Institution
    Dept. of EECS, York University, Toronto, Canada
  • fYear
    2015
  • Firstpage
    119
  • Lastpage
    122
  • Abstract
    The cells in the human body use intercellular signal transduction to organize themselves and regulate their work; multicellular life could not exist without it. In this paper, we discuss why information theory provides a useful toolbox to approach this problem. We also discuss how to calculate the capacity of intercellular signal transduction in some specific examples. Finally, we describe the challenges and future prospects of this avenue of research.
  • Keywords
    "Markov processes","Information rates","Information theory","Chemicals","Biological system modeling","Mathematical model","Nanobioscience"
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2015 49th Asilomar Conference on
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2015.7421095
  • Filename
    7421095