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Fig. 1 | BMC Systems Biology

Fig. 1

From: A global sensitivity analysis approach for morphogenesis models

Fig. 1

Overview of the global sensitivity analysis. (a) The input of the model is a list of parameter sets. Each parameter set contains uniformly randomly selected values of parameters p 1 to p 4. This input is then fed into (b) the Cellular Potts Model (CPM)-based contact inhibition model. (c) The raw output of these models are images of the cell configuration at the end of the simulations. (d) Two output measures, compactness and lacuna count, are derived from these images. Two types of global sensitivity analysis are performed on these output measures (e). Firstly, intensity plots are used to study the impact of two-parameter combinations on the variation in the output measures (f). Secondly, Sobol’ indices are used to rank the impact of individual parameters and of parameter combinations on the variance of the output measures (g)

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