A comparison of approximation techniques for variance-based sensitivity analysis of biochemical reaction systems.

ABSTRACT:

Background

Sensitivity analysis is an indispensable tool for the analysis of complex systems. In a recent paper, we have introduced a thermodynamically consistent variance-based sensitivity analysis approach for studying the robustness and fragility properties of biochemical reaction systems under uncertainty in the standard chemical potentials of the activated complexes of the reactions and the standard chemical potentials of the molecular species. In that approach, key sensitivity indices were estimated by Monte Carlo sampling, which is computationally very demanding and impractical for large biochemical reaction systems. Computationally efficient algorithms are needed to make variance-based sensitivity analysis applicable to realistic cellular networks, modeled by biochemical re

SUBMITTER: Zhang HX 

PROVIDER: S-EPMC2894038 | biostudies-literature | 2010 May

REPOSITORIES: biostudies-literature