78 citations · 144 across the 7 of their papers we have counts for
7 papers
Dynamic disorder in simple enzymatic reactions induces stochastic amplification of substrate
Ankit Gupta, Andreas Milias-Argeitis, Mustafa Khammash
A growing amount of evidence points to the fact that many enzymes exhibit fluctuations in their catalytic activity, which are associated with conformational changes on a broad rang…
Parameter inference method for stochastic single-cell dynamics from tree-structured data
Irena Kuzmanovska, Andreas Milias-Argeitis, Christoph Zechner +1
With the advance of experimental techniques such as time-lapse fluorescence microscopy, the availability of single-cell trajectory data has vastly increased, and so has the demand…
Stochastic focusing coupled with negative feedback enables robust regulation in biochemical reaction networks
Andreas Milias-Argeitis, Stefan Engblom, Pavol Bauer +1
Nature presents multiple intriguing examples of processes which proceed at high precision and regularity. This remarkable stability is frequently counter to modelers' experience wi…
Optimization-based Lyapunov function construction for continuous-time Markov chains with affine transition rates
Andreas Milias-Argeitis, Mustafa Khammash
We address the problem of Lyapunov function construction for a class of continuous-time Markov chains with affine transition rates, typically encountered in stochastic chemical kin…
Variance reduction for steady-state simulation and sensitivity analysis of stochastic chemical systems
Andreas Milias-Argeitis, John Lygeros, Mustafa Khammash
We address the problem of estimating steady-state quantities associated to systems of stochastic chemical kinetics. In most cases of interest these systems are analytically intract…
Designing Experiments to Understand the Variability in Biochemical Reaction Networks
Jakob Ruess, Andreas Milias-Argeitis, John Lygeros
Exploiting the information provided by the molecular noise of a biological process has proven to be valuable in extracting knowledge about the underlying kinetic parameters and sou…
Attaining mean square boundedness of a marginally stable noisy linear system with a bounded control input
Federico Ramponi, Debasish Chatterjee, Andreas Milias-Argeitis +2
We construct control policies that ensure bounded variance of a noisy marginally stable linear system in closed-loop. It is assumed that the noise sequence is a mutually independen…