Figure 5.

MPSA error surfaces, ECDFs and values of sensitivity indices for error calculated using deterministic model with the mean squared error of product trajectories (left column) and using stochastic model with the absolute difference of a value of the formula (3) (right column). Both procedures were run for 400 samples of parameters. Samples were generated using the Latin hypercube sampling method [36], from a uniform distribution over a range from <a onClick="popup('','MathML',630,470);return false;" target="_blank" href="">View MathML</a> to 4 × the nominal value of each of investigated parameters (Equation (2)). As a threshold for classifying samples as acceptable or unacceptable, we took median of error values. The larger the value of a statistics which compares ECDFs, the more significant is a parameter with respect to a property of interest.

Rybiński et al. BMC Systems Biology 2012 6:25   doi:10.1186/1752-0509-6-25
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