We first performed a detailed analysis of the relationship between robustness and evolvability focusing on the two organisms with the most extreme robustness values from the above experiments, hereafter denoted R (robust) and F (fragile) (Table 1).
Evaluating reliability is questioning, whether our approach, applied on the same system by different people, would eventually yield similar robustness values.
To our experience, this brings little added value as the robustness values are no more comparable because their normalisation depends on time.
For the sake of comparison, the robustness values we will show hereafter are all scaled on the unit interval [0,1], with respect to the maximum and minimum robustness.
In the case at hand, the experts at SERVICE realized that, at the start of the planning horizon, the implementation of projects 1 and 9 is robust, as in the expected general case A, both the optimistic and pessimistic case support this decision with high robustness values.
We calculated the residual values of GR and BR from linear regressions against ER and used those residual robustness values to test for effects on each of our measures of gene importance.
