Toggling a Genetic Switch Using Reinforcement Learning

no code implementations • 12 Mar 2013 • Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan

In this paper, we consider the problem of optimal exogenous control of gene regulatory networks.

reinforcement-learning Reinforcement Learning (RL)

Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems

no code implementations • 14 Jan 2009 • Tina Toni, David Welch, Natalja Strelkowa, Andreas Ipsen, Michael P. H. Stumpf

Approximate Bayesian computation methods can be used to evaluate posterior distributions without having to calculate likelihoods.

Computation Methodology