Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions
Fig 13
Comparison of model predictions and data for the synthetic metabolic network.
The model predictions for (a) biomass and lipids and (b) the substrates and products, shown with solid lines, were obtained by integrating the DFBA model with the MAP estimates of the parameters. The ‘□’ marks represent the data that was obtained by corrupting the model predictions using the true (unknown) parameters with randomly generated noise. The dotted lines represent the model predictions based on the initial parameter guess that was used to initialization the optimizer.