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Hybrid computational modeling demonstrates the utility of simulating complex cellular networks in type 1 diabetes

Fig 6

Discernible fluctuation in time required for developing overt T1D based upon selected values of parameters using local sensitivity analysis.

(A-E) The horizontal axes represent selected values of five input parameters in the spectrum of [Pd ± 30% × Pd], and the vertical axes denote the time required for developing T1D. Box plots and raw data illustrate heterogeneities occurring during T1D for selected values. The black dashed lines outline the lower and upper whiskers and black solid boxes show Q1, Q2, Q3 for the first quantile, interquartile, and third quantile values for selected points within the spectrum of [Pd ± 30% × Pd]. For these five sensitive parameters (shown by labels of the horizontal axes), the p-values of F tests were smaller than the predetermined significance level (e.g. α = 0.05).

Fig 6

doi: https://doi.org/10.1371/journal.pcbi.1009413.g006