Before revision:  In this direction, the  sensitivity analysis of the reaction network's parameters is a crucial mathematical and computational tool since it allows to infer information about the robustness and the identifiability of the model 's parameters.
After revision:  In this direction, the sensitivity analysis of the reaction network's parameters is a crucial mathematical and computational tool since it allows to infer information about the robustness and the identifiability of model parameters. However, existing sensitivity analysis approaches such as variants of the finite difference method can have an overwhelming computational cost in models with a high-dimensional parameter space.