Consistent robustness analysis (CRA) identifies biologically relevant properties of regulatory network models.

ABSTRACT:

Background

A number of studies have previously demonstrated that "goodness of fit" is insufficient in reliably classifying the credibility of a biological model. Robustness and/or sensitivity analysis is commonly employed as a secondary method for evaluating the suitability of a particular model. The results of such analyses invariably depend on the particular parameter set tested, yet many parameter values for biological models are uncertain.

Results

Here, we propose a novel robustness analysis that aims to determine the "common robustness" of the model with multiple, biologically plausible parameter sets, rather than the local robustness for a particular parameter set. Our method is applied to two published models of the Arabidopsis circadian clock (the one-loop [1] and tw

SUBMITTER: Saithong T 

PROVIDER: S-EPMC3002950 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature