activity
20092013
most citedApproximate Bayesian computation scheme for parameter inference and model selection in dynamical systems

1.6k citations · 1.6k across the 3 of their papers we have counts for

collaborators

5 papers

eess.SY2013

On Periodic Reference Tracking Using Batch-Mode Reinforcement Learning with Application to Gene Regulatory Network Control

Aivar Sootla, Natalja Strelkowa, Damien Ernst +2

In this paper, we consider the periodic reference tracking problem in the framework of batch-mode reinforcement learning, which studies methods for solving optimal control problems…

eess.SY2013★ 16 cited

Toggling a Genetic Switch Using Reinforcement Learning

Aivar Sootla, Natalja Strelkowa, Damien Ernst +2

In this paper, we consider the problem of optimal exogenous control of gene regulatory networks. Our approach consists in adapting an established reinforcement learning algorithm c…

q-bio.MN2010

Transient dynamics around unstable periodic orbits in the generalized repressilator model

Natalja Strelkowa, Mauricio Barahona

We study the spatio-temporal dynamics of the generalized repressilator, a system of coupled repressing genes arranged in a directed ring topology, and give analytical conditions fo…

q-bio.MN2009

Switchable Genetic Oscillator Operating in Quasi-Stable Mode

Natalja Strelkowa, Mauricio Barahona

Ring topologies of repressing genes have qualitatively different long-term dynamics if the number of genes is odd (they oscillate) or even (they exhibit bistability). However, thes…

stat.CO2009★ 1.6k cited

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

Tina Toni, David Welch, Natalja Strelkowa +2

Approximate Bayesian computation methods can be used to evaluate posterior distributions without having to calculate likelihoods. In this paper we discuss and apply an approximate…