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

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Original languageEnglish
Article numbere15589
Number of pages11
JournalPLoS ONE
Issue number12
Publication statusPublished - Dec 2010


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.

    Research areas

  • Algorithms, Arabidopsis, Circadian Clocks, Circadian Rhythm, Computer Simulation, Gene Expression Regulation, Plant, Gene Regulatory Networks, Glycolysis, Models, Genetic, Models, Statistical, Models, Theoretical, Oscillometry, Signal Transduction

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