Figure 1
Description of the DYVIPAC framework.
(a) Illustration of potential caveat when extrapolating global systems dynamics from observation of low-dimension (two-parameter) plots. (b) Workflow showing steps within DYVIPAC: explanation of each steps is described in the text. (c) Scheme illustrating the ensemble approach of dynamics analysis, characterisation and visualisation using PC plot in DYVIPAC. Typically, large sets (>10,000) of selected parameters (p1, p2,…, pn where n ≥ 2) randomly sampled from specified ranges of values. The dynamic behavior of the modeled system at each set is assessed using linear stability analysis, then classified (e.g. bistable, monostable, oscillatory, etc.) and visualised using PC plot. On a PC plot, alues of each parameter p1, p2,…, pn are represented on the corresponding (parallel) vertical axes and each line connecting the n parameter values represent a single parameter set. Note that all the sampling ranges are scaled to the [0,1] range to facilitate comparison and visualisation of all sampled sets on the same plot. The whole process can be repeated multiple times for different selection of parameters.
