A scenario is defined as a set of parameters and constraints that specify the conditions under which the deployment will run.
In a hybrid modeling framework, the analytical model is used to optimally determine the best storage locations among available choices under a certain set of parameters and constraints, and for given optimization criteria.
The finding that a realistic set of parameter combinations satisfied the constraints imposed by the NanoString measurements suggests that the kinetic model provides a suitable description of Nodal morphogen interpretation.
This optimization process finds the best set of parameters under given constraints that identifies the best match between the expected hemodynamic response and the combined time-series.
Having established identifying constraints, we addressed the issue of statistical power to detect such transmission given a limited set of parameter values.
By geometric constraint solving (GCS), a set of parameters that satisfy all the given constraints are determined, and then the design scheme is obtained by several core algorithms, such as parametric tank subdivision, 3D stability calculation, parametric structure design, FEM preprocessing, etc.
What if another set of parameters that can fit the constraints just as well show that the main conclusions do not hold anymore?
A constraint block defines a set of parameters related to each other by the constraint expression.
Furthermore, by using a constraint solver on the previous results, it becomes possible to get the set of parameters settings which are consistent with given specifications.
Finally, once we obtained a set of parameters that satisfies the constant threshold constraint, we modified the RIDA rate while leaving the other parameters unchanged (Additional File 1, Figure A7), attempting to reproduce the effect of under or over expressing the Hda protein, as in the experiments by Riber et al. [ 37].
