Jakob Ruess
Jakob Ruess
Inria Saclay - Ile de France
Bestätigte E-Mail-Adresse bei inria.fr
TitelZitiert vonJahr
Moment-based inference predicts bimodality in transient gene expression
C Zechner, J Ruess, P Krenn, S Pelet, M Peter, J Lygeros, H Koeppl
Proceedings of the National Academy of Sciences 109 (21), 8340-8345, 2012
1892012
Designing experiments to understand the variability in biochemical reaction networks
J Ruess, A Milias-Argeitis, J Lygeros
Journal of the Royal Society Interface 10 (88), 20130588, 2013
572013
Iterative experiment design guides the characterization of a light-inducible gene expression circuit
J Ruess, F Parise, A Milias-Argeitis, M Khammash, J Lygeros
Proceedings of the National Academy of Sciences 112 (26), 8148-8153, 2015
412015
Moment estimation for chemically reacting systems by extended Kalman filtering
J Ruess, A Milias-Argeitis, S Summers, J Lygeros
The Journal of chemical physics 135 (16), 10B621, 2011
392011
Shaping bacterial population behavior through computer-interfaced control of individual cells
R Chait, J Ruess, T Bergmiller, G Tkačik, CC Guet
Nature communications 8 (1), 1535, 2017
242017
Moment-based methods for parameter inference and experiment design for stochastic biochemical reaction networks
J Ruess, J Lygeros
ACM Transactions on Modeling and Computer Simulation (TOMACS) 25 (2), 8, 2015
212015
Adaptive moment closure for parameter inference of biochemical reaction networks
S Bogomolov, TA Henzinger, A Podelski, J Ruess, C Schilling
International Conference on Computational Methods in Systems Biology, 77-89, 2015
142015
Adaptive moment closure for parameter inference of biochemical reaction networks
C Schilling, S Bogomolov, TA Henzinger, A Podelski, J Ruess
Biosystems 149, 15-25, 2016
112016
Identifying stochastic biochemical networks from single-cell population experiments: A comparison of approaches based on the Fisher information
J Ruess, J Lygeros
52nd IEEE Conference on Decision and Control, 2703-2708, 2013
112013
Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study
F Parise, J Lygeros, J Ruess
Frontiers in Environmental Science 3, 42, 2015
92015
Approximating the solution of the chemical master equation by combining finite state projection and stochastic simulation
A Hjartarson, J Ruess, J Lygeros
52nd IEEE Conference on Decision and Control, 751-756, 2013
72013
Grey-box techniques for the identification of a controlled gene expression model
F Parise, J Ruess, J Lygeros
2014 European Control Conference (ECC), 1498-1503, 2014
62014
Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space
J Ruess
The Journal of chemical physics 143 (24), 12B636_1, 2015
52015
Moment-based methods for the analysis and identi cation of stochastic models of biochemical reaction networks
J Ruess
ETH Zurich, 2014
42014
Sensitivity estimation for stochastic models of biochemical reaction networks in the presence of extrinsic variability
J Ruess, H Koeppl, C Zechner
The Journal of chemical physics 146 (12), 124122, 2017
22017
Estimating information in time-varying signals
SA Cepeda-Humerez, J Ruess, G Tkačik
arXiv preprint arXiv:1812.11884, 2018
12018
On the use of the moment equations for parameter inference, control and experimental design in stochastic biochemical reaction networks
J Ruess, J Lygeros
International Conference on Computational Methods in Systems Biology, 1-4, 2013
12013
Optimal control of an artificial microbial differentiation system for protein bioproduction
É Weill, V Andréani, C Aditya, P Martinon, J Ruess, G Batt, F Bonnans
2019 18th European Control Conference (ECC), 2663-2668, 2019
2019
Can optimal experimental design serve as a tool to characterize highly non-linear synthetic circuits?
M Kryukov, A Carcano, G Batt, J Ruess
2019 18th European Control Conference (ECC), 1176-1181, 2019
2019
Molecular noise of innate immunity shapes bacteria-phage ecologies
J Ruess, M Pleska, C Guet, G Tkacik
bioRxiv, 399527, 2019
2019
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