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Parameter estimation of signal transduction pathways using probability density function of measurement

Liu, T.Y. and Jia, J.F. and Wang, H. and Yue, H. (2007) Parameter estimation of signal transduction pathways using probability density function of measurement. In: The 1st International Conference on Biomedical Engineering, 2007. ICBBE 2007, 2007-07-06, Wuhan.

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Abstract

Parameter estimation of signal transduction pathway models is a challenging task as such models are normally nonlinear, high dimensional, and the measurement data is limited and corrupted by noise. In this paper, a novel method for parameter estimation is proposed, in which the distance between the probability density function (PDF) of the model output and the PDF of the measurement data is minimized. This method has been applied to estimate unknown parameters of a TNFalpha- mediated NF-kappaB signal transduction pathway model. The simulation results show the effectiveness of this new algorithm.

Item type: Conference or Workshop Item (Paper)
ID code: 37014
Keywords: parameter estimation, signal transduction , probability density , Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 24 Jan 2012 12:28
    Last modified: 17 Jul 2013 15:36
    URI: http://strathprints.strath.ac.uk/id/eprint/37014

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