Title :
On structural identifiability of S-system
Author :
Choujun Zhan ; Li, Benjamin Y. S. ; Lam Fat Yeung
Author_Institution :
Dept. of Electron. Commun. & Software Eng., Sun Yat-Sen Univ., Guangzhou, China
Abstract :
S-system is a commonly used model for dynamic biological system. However, due to technical limitations, biological reaction networks are often only partially observable, which indicates that not all individuals incorporated in the model can be measured directly. Given a limited amount and quality of experimental data, it cannot be assured that the model structure and parameters can be estimated unambiguously. Hence, it is important to known in what situation the S-system is identifiable and which are not. This knowledge is essential on the construction of model and, indeed, the analysis of the underlying biological system. In this work we shall perform a theoretic discussion on the identifiability of S-system. We shall show that the S-system is identifiable under a set of assumptions. To illustrate the identification performance of S-system, an application on yeast fermentation pathway is conducted.
Keywords :
cellular biophysics; fermentation; living systems; microorganisms; parameter estimation; physiological models; S-system assumptions; S-system identification performance; S-system model construction; S-system model parameter estimation; S-system model structure; S-system situational identifiability; S-system structural identifiability; S-system-incoporated individual measurement; biological reaction networks; biological system analysis; direct individual measurement; dynamic biological system model; experimental data amount; experimental data quality; model-incorporated individual measurement; yeast fermentation pathway; Analytical models; Biological system modeling; Educational institutions; Equations; Mathematical model; Trajectory;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
DOI :
10.1109/BIBM.2014.6999259