• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Electrical Engineering
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Electrical Engineering
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Fuzzy intervention in biological phenomena

    Thumbnail
    Date
    2012
    Author
    Nounou, H.N.
    Nounou, M.N.
    Meskin, Nader
    Datta, A.
    Dougherty, E.R.
    Metadata
    Show full item record
    Abstract
    An important objective of modeling biological phenomena is to develop therapeutic intervention strategies to move an undesirable state of a diseased network toward a more desirable one. Such transitions can be achieved by the use of drugs to act on some genes/metabolites that affect the undesirable behavior. Due to the fact that biological phenomena are complex processes with nonlinear dynamics that are impossible to perfectly represent with a mathematical model, the need for model-free nonlinear intervention strategies that are capable of guiding the target variables to their desired values often arises. In many applications, fuzzy systems have been found to be very useful for parameter estimation, model development and control design of nonlinear processes. In this paper, a model-free fuzzy intervention strategy (that does not require a mathematical model of the biological phenomenon) is proposed to guide the target variables of biological systems to their desired values. The proposed fuzzy intervention strategy is applied to three different biological models: a glycolyticglycogenolytic pathway model, a purine metabolism pathway model, and a generic pathway model. The simulation results for all models demonstrate the effectiveness of the proposed scheme. 2013 IEEE.
    DOI/handle
    http://dx.doi.org/10.1109/TCBB.2012.113
    http://hdl.handle.net/10576/29830
    Collections
    • Electrical Engineering [‎2821‎ items ]

    entitlement

    Related items

    Showing items related by title, author, creator and subject.

    • Thumbnail

      Intervention in biological phenomena modeled by S-systems 

      Meskin, Nader; Nounou, H.N.; Nounou, M.; Datta, A.; Dougherty, E.R. ( IEEE , 2011 , Article)
      Recent years have witnessed extensive research activity in modeling biological phenomena as well as in developing intervention strategies for such phenomena. S-systems, which offer a good compromise between accuracy and ...
    • Thumbnail

      Intervention in biological phenomena modeled by S-systems: A model predictive control approach 

      Meskin, Nader; Nounou, H.; Nounou, M.; Datta, A.; Dougherty, E.R. ( Institute of Electrical and Electronics Engineers Inc. , 2011 , Conference)
      Recent years have witnessed extensive research activity in modeling genetic regulatory networks (GRNs) as well as in developing therapeutic intervention strategies for such networks. S-systems, which offer a good compromise ...
    • Thumbnail

      Parameter estimation of biological phenomena: An unscented kalman filter approach 

      Meskin, Nader; Nounou, H.; Nounou, M.; Datta, A. ( IEEE , 2013 , Article)
      Recent advances in high-throughput technologies for biological data acquisition have spurred a broad interest in the construction of mathematical models for biological phenomena. The development of such mathematical models ...

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of Digital Hub
      Communities & Collections Publication Date Author Title Subject Type Language Publisher
    This Collection
      Publication Date Author Title Subject Type Language Publisher

    My Account

    Login

    Statistics

    View Usage Statistics

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Video