Parameter estimation in systems biology models using spline approximation.

ABSTRACT:

Background

Mathematical models for revealing the dynamics and interactions properties of biological systems play an important role in computational systems biology. The inference of model parameter values from time-course data can be considered as a "reverse engineering" process and is still one of the most challenging tasks. Many parameter estimation methods have been developed but none of these methods is effective for all cases and can overwhelm all other approaches. Instead, various methods have their advantages and disadvantages. It is worth to develop parameter estimation methods which are robust against noise, efficient in computation and flexible enough to meet different constraints.

Results

Two parameter estimation methods of combining spline theory with Linear Prog

SUBMITTER: Zhan C 

PROVIDER: S-EPMC3750107 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature