Uncertainty Quantification in Stochastic Dynamical Gene Regulatory Networks
This work proposes an uncertainty quantification framework that addresses intrinsic stochasticity is described through a partial integro-differential equation (PIDE) for the protein probability density function, whereas extrinsic noise is represented as parametric uncertainty in the kinetic parameters.