4 papers
Rate-Independent Epigenetics: a thermodynamically consistent framework for modelling epigenetic response
Jacobo Ayensa-Jiménez, Ignacio ROmero
Epigenetic changes -- heritable, long-lived, yet actively reversible modifications of the chromatin state -- display memory, threshold activation and hysteresis, features that are…
A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences
Christina Schenk, Ignacio Romero
In this work, we review the theory involved in the Bayesian calibration of complex computer models, with particular emphasis on their use for applications involving computationally…
Bayesian Calibration and Model Assessment of Cell Migration Dynamics with Surrogate Model Integration
Christina Schenk, Jacobo Ayensa Jiménez, Ignacio Romero
Computational models provide crucial insights into complex biological processes such as cancer evolution, but their mechanistic nature often makes them nonlinear and parameter-rich…
Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
Christina Schenk, Aditya Vasudevan, Maciej Haranczyk +1
Mathematical and computational tools have proven to be reliable in decision-making processes. In recent times, in particular, machine learning-based methods are becoming increasing…