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.
Full text not available in this repository. (Request a copy from the Strathclyde author)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: | 04 Oct 2012 17:26 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/37014 |
Actions (login required)
| View Item |