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Fig. 8 | BMC Systems Biology

Fig. 8

From: Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions

Fig. 8

Two different ways to view the non-implausible input or rate parameter space (on a log scale) after waves 1, 2 and 4 (left, middle and right columns respectively). The top row gives the minimised implausibility I P (x ), where x =(k 1v a u x i n /k 1a ,k 1v e t h /k 12). The red and dark grey regions imply that no matter what values are chosen for the remaining 21 inputs, the model will still be a poor match to the data for these settings of k 1v a u x i n /k 1a and k 1v e t h /k 12. The bottom row gives the optical depth ρ(x ) which shows the thickness or depth of the non-implausible region \(\mathcal {X}_{k}\) in the remaining 21 input dimensions, as a proportion of the depth of the original space \(\mathcal {X}_{1}\)

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