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Found 5 papers, 3 papers with code
Complete characterization of robust perfect adaptation in biochemical reaction networks
The present results indicate that an RPA property is essentially equivalent to the existence of a "topological invariant", which is an instance of what we call the "Robust Adaptation is Topological"(RAT) principle.
Noise in Biomolecular Systems: Modeling, Analysis, and Control Implications
In this article, we review the role and impact of noise in systems and synthetic biology, with a particular emphasis on its role in the genetic control of biological systems, an area we refer to as Cybergenetics.
Convergence of regularized particle filters for stochastic reaction networks
In this case, the regularized particle filter (RPF) is preferred to the conventional ones, as the RPF can mitigate sample degeneracy by perturbing particles with artificial noise.
Stochastic filtering for multiscale stochastic reaction networks based on hybrid approximations
As a result, we are able to develop efficient particle filters to solve the filtering problem for the original model by applying particle filters to the reduced model.
A hidden integral structure endows Absolute Concentration Robust systems with resilience to dynamical concentration disturbances
These species behave in a stable, predictable way, in the sense that their expression is robust with respect to sudden changes in the species concentration, regardless the new positive equilibrium reached by the system.
