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Fig. 4 | BMC Systems Biology

Fig. 4

From: Quantifying the relative importance of experimental data points in parameter estimation

Fig. 4

Sampling algorithm for evaluating G1/S transition with 6-parameters. The black curve indicates the observed experimental data. The gray curves represent the model predictions based on the acceptable parameter settings, collectively forming a gray belt. a Sampling results with respect to the equal-weight cost function. The E2F1 belt from the equal-weight cost function shows imbalance between the thick width in the dynamic region and the thin width in the flat region. b Sampling results obtained from the weighted cost function. The belt width of E2F1 is much thinner in the dynamic region because the weighted cost function gives higher weights to the data points in the dynamic region. At the early time points where pRB exhibits bigger change, the pRB belt for the weighted cost function is thinner than that for the equal-weight cost function

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