PSoup: an R package for predicting the outcomes of biological networks without kinetic parameters
Mechanistic models built for prediction are often treated as a parameter estimation problem. Using Bayesian inference on a well-studied shoot branching ODE model, we show that multiple incompatible parameter calibrations can fit the same experimental data yet can make contradictory predictions under unseen treatment...