Parameter estimation and determinability analysis applied to Drosophila gap gene circuits.

ABSTRACT:

Background

Mathematical modeling of real-life processes often requires the estimation of unknown parameters. Once the parameters are found by means of optimization, it is important to assess the quality of the parameter estimates, especially if parameter values are used to draw biological conclusions from the model.

Results

In this paper we describe how the quality of parameter estimates can be analyzed. We apply our methodology to assess parameter determinability for gene circuit models of the gap gene network in early Drosophila embryos.

Conclusion

Our analysis shows that none of the parameters of the considered model can be determined individually with reasonable accuracy due to correlations between parameters. Therefore, the model cannot be used as a tool to infer

SUBMITTER: Ashyraliyev M 

PROVIDER: S-EPMC2586632 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature