2 papers
q-bio.MN2026
Enforcing Thermodynamic Consistency in Parameter Optimization and Bayesian Inference of Biochemical Reaction Networks
Federica Milinanni, Andrei Kramer-Miehe, Jan Glaubitz +1
Subcellular signaling pathways regulating, e.g., cell division or synaptic plasticity, are often modeled as dynamical networks of reactions satisfying the law of mass action. To re…
math.NA2021
Sensitivity Approximation by the Peano-Baker Series
Olivia Eriksson, Andrei Kramer, Federica Milinanni +1
In this paper we develop a new method for numerically approximating sensitivities in parameter-dependent ordinary differential equations (ODEs). Our approach, intended for situatio…