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Figure 2 | BMC Systems Biology

Figure 2

From: Mathematical modeling of GATA-switching for regulating the differentiation of hematopoietic stem cell

Figure 2

Schematic representation of the multiple-objective optimization algorithm for estimating model parameters. This algorithm includes five major steps, namely to generate initial sets of model parameters from a genetic algorithm (GA) in Step 1; to find the three steady states of the model with a particular set of parameters in Step 2; to validate the existence of the three steady states in Step 3; to examine the existence of genetic switching in Step 4; and to conduct robustness analysis of the model based on the property of genetic switching in Step 5. Finally the penalty function value (PFV) is sent back to the GA for the selection of the optimal set of parameters.

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