Jakob Ruess

Henzinger_Thomas Group
Tkacik Group

10 Publications

Mark all

[10]
2022 | Published | Journal Article | IST-REx-ID: 10939 | OA
Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level
A. Davidović, R.P. Chait, G. Batt, J. Ruess, PLoS Computational Biology 18 (2022).
[Published Version] View | Files available | DOI
 
[9]
2019 | Published | Journal Article | IST-REx-ID: 6784 | OA
Molecular noise of innate immunity shapes bacteria-phage ecologies
J. Ruess, M. Pleska, C.C. Guet, G. Tkačik, PLoS Computational Biology 15 (2019).
[Published Version] View | Files available | DOI | WoS
 
[8]
2019 | Research Data Reference | IST-REx-ID: 9786
Supporting text and results
J. Ruess, M. Pleska, C.C. Guet, G. Tkačik, (2019).
[Published Version] View | Files available | DOI
 
[7]
2017 | Published | Journal Article | IST-REx-ID: 613 | OA
Shaping bacterial population behavior through computer interfaced control of individual cells
R.P. Chait, J. Ruess, T. Bergmiller, G. Tkačik, C.C. Guet, Nature Communications 8 (2017).
[Published Version] View | Files available | DOI
 
[6]
2016 | Published | Journal Article | IST-REx-ID: 1148
Adaptive moment closure for parameter inference of biochemical reaction networks
C. Schilling, S. Bogomolov, T.A. Henzinger, A. Podelski, J. Ruess, Biosystems 149 (2016) 15–25.
View | Files available | DOI
 
[5]
2015 | Published | Journal Article | IST-REx-ID: 1538 | OA
Iterative experiment design guides the characterization of a light-inducible gene expression circuit
J. Ruess, F. Parise, A. Milias Argeitis, M. Khammash, J. Lygeros, PNAS 112 (2015) 8148–8153.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[4]
2015 | Published | Journal Article | IST-REx-ID: 1539 | OA
Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space
J. Ruess, Journal of Chemical Physics 143 (2015).
[Published Version] View | Files available | DOI
 
[3]
2015 | Published | Conference Paper | IST-REx-ID: 1658
Adaptive moment closure for parameter inference of biochemical reaction networks
S. Bogomolov, T.A. Henzinger, A. Podelski, J. Ruess, C. Schilling, 9308 (2015) 77–89.
View | Files available | DOI
 
[2]
2015 | Published | Journal Article | IST-REx-ID: 1861
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 25 (2015).
View | DOI
 
[1]
2015 | Published | Journal Article | IST-REx-ID: 10794 | OA
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 (2015).
[Published Version] View | Files available | DOI
 
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10 Publications

Mark all

[10]
2022 | Published | Journal Article | IST-REx-ID: 10939 | OA
Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level
A. Davidović, R.P. Chait, G. Batt, J. Ruess, PLoS Computational Biology 18 (2022).
[Published Version] View | Files available | DOI
 
[9]
2019 | Published | Journal Article | IST-REx-ID: 6784 | OA
Molecular noise of innate immunity shapes bacteria-phage ecologies
J. Ruess, M. Pleska, C.C. Guet, G. Tkačik, PLoS Computational Biology 15 (2019).
[Published Version] View | Files available | DOI | WoS
 
[8]
2019 | Research Data Reference | IST-REx-ID: 9786
Supporting text and results
J. Ruess, M. Pleska, C.C. Guet, G. Tkačik, (2019).
[Published Version] View | Files available | DOI
 
[7]
2017 | Published | Journal Article | IST-REx-ID: 613 | OA
Shaping bacterial population behavior through computer interfaced control of individual cells
R.P. Chait, J. Ruess, T. Bergmiller, G. Tkačik, C.C. Guet, Nature Communications 8 (2017).
[Published Version] View | Files available | DOI
 
[6]
2016 | Published | Journal Article | IST-REx-ID: 1148
Adaptive moment closure for parameter inference of biochemical reaction networks
C. Schilling, S. Bogomolov, T.A. Henzinger, A. Podelski, J. Ruess, Biosystems 149 (2016) 15–25.
View | Files available | DOI
 
[5]
2015 | Published | Journal Article | IST-REx-ID: 1538 | OA
Iterative experiment design guides the characterization of a light-inducible gene expression circuit
J. Ruess, F. Parise, A. Milias Argeitis, M. Khammash, J. Lygeros, PNAS 112 (2015) 8148–8153.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[4]
2015 | Published | Journal Article | IST-REx-ID: 1539 | OA
Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space
J. Ruess, Journal of Chemical Physics 143 (2015).
[Published Version] View | Files available | DOI
 
[3]
2015 | Published | Conference Paper | IST-REx-ID: 1658
Adaptive moment closure for parameter inference of biochemical reaction networks
S. Bogomolov, T.A. Henzinger, A. Podelski, J. Ruess, C. Schilling, 9308 (2015) 77–89.
View | Files available | DOI
 
[2]
2015 | Published | Journal Article | IST-REx-ID: 1861
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 25 (2015).
View | DOI
 
[1]
2015 | Published | Journal Article | IST-REx-ID: 10794 | OA
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 (2015).
[Published Version] View | Files available | DOI
 
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