Convergence in parameters and predictions using computational experimental design

@inproceedings{Hagen2013ConvergenceIP,
  title={Convergence in parameters and predictions using computational experimental design},
  author={David R. Hagen and J. K. White and Bruce Tidor},
  booktitle={Interface focus},
  year={2013}
}
Typically, biological models fitted to experimental data suffer from significant parameter uncertainty, which can lead to inaccurate or uncertain predictions. One school of thought holds that accurate estimation of the true parameters of a biological system is inherently problematic. Recent work, however, suggests that optimal experimental design techniques can select sets of experiments whose members probe complementary aspects of a biochemical network that together can account for its full… CONTINUE READING

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