Jakob Ruess

发表

Approximating the solution of the chemical master equation by combining finite state projection and stochastic simulation

John Lygeros, Aron Hjartarson, Jakob Ruess, 2013, 52nd IEEE Conference on Decision and Control.

Shaping bacterial population behavior through computer-interfaced control of individual cells

Jakob Ruess, Remy Chait, Tobias Bergmiller, 2017, Nature Communications.

Adaptive Moment Closure for Parameter Inference of Biochemical Reaction Networks

Thomas A. Henzinger, Sergiy Bogomolov, Christian Schilling, 2015, CMSB.

Designing experiments to understand the variability in biochemical reaction networks

John Lygeros, Jakob Ruess, Andreas Milias-Argeitis, 2013, Journal of The Royal Society Interface.

Estimating information in time-varying signals

Jakob Ruess, Gašper Tkačik, Sarah Anhala Cepeda-Humerez, 2018, PLoS Comput. Biol..

Iterative experiment design guides the characterization of a light-inducible gene expression circuit

John Lygeros, Jakob Ruess, Andreas Milias-Argeitis, 2015, Proceedings of the National Academy of Sciences.

On the Use of the Moment Equations for Parameter Inference, Control and Experimental Design in Stochastic Biochemical Reaction Networks

John Lygeros, Jakob Ruess, 2013, CMSB.

Debugging Synthetic Circuits with Optogenetic Control

Jakob Ruess, Remy Chait, Zachary Fox, 2020 .

Optimal control of an artificial microbial differentiation system for protein bioproduction

Jakob Ruess, J. Frédéric Bonnans, Pierre Martinon, 2019, 2019 18th European Control Conference (ECC).

Moment-Based Methods for Parameter Inference and Experiment Design for Stochastic Biochemical Reaction Networks

John Lygeros, Jakob Ruess, J. Lygeros, 2015, ACM Trans. Model. Comput. Simul..

Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study

John Lygeros, Jakob Ruess, Francesca Parise, 2015, Front. Environ. Sci..

Can optimal experimental design serve as a tool to characterize highly non-linear synthetic circuits?

Jakob Ruess, Gregory Batt, Arthur Carcano, 2019, 2019 18th European Control Conference (ECC).

To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing

Jakob Ruess, Gregory Batt, Davin Lunz, 2020, Epidemics.

Grey-box techniques for the identification of a controlled gene expression model

John Lygeros, Jakob Ruess, Francesca Parise, 2014, 2014 European Control Conference (ECC).

Optimal design of experiments for a bio-synthetic toggle switch

Jakob Ruess, Grégory Batt, Maksim Kriukov, 2018 .

Identifying stochastic biochemical networks from single-cell population experiments: A comparison of approaches based on the Fisher information

John Lygeros, Jakob Ruess, J. Lygeros, 2013, 52nd IEEE Conference on Decision and Control.

Molecular noise of innate immunity shapes bacteria-phage ecologies

Jakob Ruess, Gašper Tkačik, Maroš Pleška, 2019, PLoS Comput. Biol..

External control of microbial populations for bioproduction: A modeling and optimization viewpoint

Jakob Ruess, Grégory Batt, François Bertaux, 2021, Current Opinion in Systems Biology.

Adaptive Moment Closure for Parameter Inference of Biochemical Reaction Networks

Thomas A. Henzinger, Sergiy Bogomolov, Christian Schilling, 2015 .

Sensitivity estimation for stochastic models of biochemical reaction networks in the presence of extrinsic variability.

Heinz Koeppl, Jakob Ruess, Christoph Zechner, 2017, The Journal of chemical physics.

Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space.

Jakob Ruess, J. Ruess, 2015, The Journal of chemical physics.