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Jakob Ruess
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2020 – today
- 2022
- [j6]Andela Davidovic, Remy Chait, Grégory Batt, Jakob Ruess:
Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level. PLoS Comput. Biol. 18(3) (2022) - 2021
- [j5]Davin Lunz, Grégory Batt, Jakob Ruess, J. Frédéric Bonnans:
Beyond the chemical master equation: Stochastic chemical kinetics coupled with auxiliary processes. PLoS Comput. Biol. 17(7) (2021)
2010 – 2019
- 2019
- [j4]Jakob Ruess, Maros Pleska, Calin C. Guet, Gasper Tkacik:
Molecular noise of innate immunity shapes bacteria-phage ecologies. PLoS Comput. Biol. 15(7) (2019) - [j3]Sarah Anhala Cepeda-Humerez, Jakob Ruess, Gasper Tkacik:
Estimating information in time-varying signals. PLoS Comput. Biol. 15(9) (2019) - [c7]Maxim Kryukov, Arthur Carcano, Grégory Batt, Jakob Ruess:
Can optimal experimental design serve as a tool to characterize highly non-linear synthetic circuits? ECC 2019: 1176-1181 - [c6]Élise Weill, Virgile Andréani, Chetan Aditya, Pierre Martinon, Jakob Ruess, Grégory Batt, J. Frédéric Bonnans:
Optimal control of an artificial microbial differentiation system for protein bioproduction. ECC 2019: 2663-2668 - 2016
- [j2]Christian Schilling, Sergiy Bogomolov, Thomas A. Henzinger, Andreas Podelski, Jakob Ruess:
Adaptive moment closure for parameter inference of biochemical reaction networks. Biosyst. 149: 15-25 (2016) - 2015
- [j1]Jakob Ruess, John Lygeros:
Moment-Based Methods for Parameter Inference and Experiment Design for Stochastic Biochemical Reaction Networks. ACM Trans. Model. Comput. Simul. 25(2): 8:1-8:25 (2015) - [c5]Sergiy Bogomolov, Thomas A. Henzinger, Andreas Podelski, Jakob Ruess, Christian Schilling:
Adaptive Moment Closure for Parameter Inference of Biochemical Reaction Networks. CMSB 2015: 77-89 - 2014
- [c4]Francesca Parise, Jakob Ruess, John Lygeros:
Grey-box techniques for the identification of a controlled gene expression model. ECC 2014: 1498-1503 - 2013
- [c3]Aron Hjartarson, Jakob Ruess, John Lygeros:
Approximating the solution of the chemical master equation by combining finite state projection and stochastic simulation. CDC 2013: 751-756 - [c2]Jakob Ruess, John Lygeros:
Identifying stochastic biochemical networks from single-cell population experiments: A comparison of approaches based on the Fisher information. CDC 2013: 2703-2708 - [c1]Jakob Ruess, John Lygeros:
On the Use of the Moment Equations for Parameter Inference, Control and Experimental Design in Stochastic Biochemical Reaction Networks. CMSB 2013: 1-4
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