Sloppy models, parameter uncertainty, and the role of experimental design.

@article{Apgar2010SloppyMP,
  title={Sloppy models, parameter uncertainty, and the role of experimental design.},
  author={Joshua F. Apgar and David Witmer and Forest M. White and Bruce Tidor},
  journal={Molecular bioSystems},
  year={2010},
  volume={6 10},
  pages={1890-900}
}
Computational models are increasingly used to understand and predict complex biological phenomena. These models contain many unknown parameters, at least some of which are difficult to measure directly, and instead are estimated by fitting to time-course data. Previous work has suggested that even with precise data sets, many parameters are unknowable by trajectory measurements. We examined this question in the context of a pathway model of epidermal growth factor (EGF) and neuronal growth… CONTINUE READING
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