Jakob Ruess
Henzinger_Thomas Group
Tkacik Group
10 Publications
2022 | Journal Article | IST-REx-ID: 10939 | 
A. Davidović, R. P. Chait, G. Batt, and J. Ruess, “Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level,” PLoS Computational Biology, vol. 18, no. 3. Public Library of Science, 2022.
[Published Version]
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| DOI
2019 | Journal Article | IST-REx-ID: 6784 |
J. Ruess, M. Pleska, C. C. Guet, and G. Tkačik, “Molecular noise of innate immunity shapes bacteria-phage ecologies,” PLoS Computational Biology, vol. 15, no. 7. Public Library of Science, 2019.
[Published Version]
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| DOI
| WoS
2019 | Research Data Reference | IST-REx-ID: 9786
J. Ruess, M. Pleska, C. C. Guet, and G. Tkačik, “Supporting text and results.” Public Library of Science, 2019.
[Published Version]
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2017 | Journal Article | IST-REx-ID: 613 |
R. P. Chait, J. Ruess, T. Bergmiller, G. Tkačik, and C. C. Guet, “Shaping bacterial population behavior through computer interfaced control of individual cells,” Nature Communications, vol. 8, no. 1. Nature Publishing Group, 2017.
[Published Version]
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2016 | Journal Article | IST-REx-ID: 1148
C. Schilling, S. Bogomolov, T. A. Henzinger, A. Podelski, and J. Ruess, “Adaptive moment closure for parameter inference of biochemical reaction networks,” Biosystems, vol. 149. Elsevier, pp. 15–25, 2016.
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| DOI
2015 | Journal Article | IST-REx-ID: 10794 |
F. Parise, J. Lygeros, and J. Ruess, “Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study,” Frontiers in Environmental Science, vol. 3. Frontiers, 2015.
[Published Version]
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2015 | Journal Article | IST-REx-ID: 1539 |
J. Ruess, “Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space,” Journal of Chemical Physics, vol. 143, no. 24. American Institute of Physics, 2015.
[Published Version]
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2015 | Journal Article | IST-REx-ID: 1538 |
J. Ruess, F. Parise, A. Milias Argeitis, M. Khammash, and J. Lygeros, “Iterative experiment design guides the characterization of a light-inducible gene expression circuit,” PNAS, vol. 112, no. 26. National Academy of Sciences, pp. 8148–8153, 2015.
[Submitted Version]
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| DOI
| Download Submitted Version (ext.)
| PubMed | Europe PMC
2015 | Conference Paper | IST-REx-ID: 1658
S. Bogomolov, T. A. Henzinger, A. Podelski, J. Ruess, and C. Schilling, “Adaptive moment closure for parameter inference of biochemical reaction networks,” vol. 9308. Springer, pp. 77–89, 2015.
View
| Files available
| DOI
10 Publications
2022 | Journal Article | IST-REx-ID: 10939 |
A. Davidović, R. P. Chait, G. Batt, and J. Ruess, “Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level,” PLoS Computational Biology, vol. 18, no. 3. Public Library of Science, 2022.
[Published Version]
View
| Files available
| DOI
2019 | Journal Article | IST-REx-ID: 6784 |
J. Ruess, M. Pleska, C. C. Guet, and G. Tkačik, “Molecular noise of innate immunity shapes bacteria-phage ecologies,” PLoS Computational Biology, vol. 15, no. 7. Public Library of Science, 2019.
[Published Version]
View
| Files available
| DOI
| WoS
2019 | Research Data Reference | IST-REx-ID: 9786
J. Ruess, M. Pleska, C. C. Guet, and G. Tkačik, “Supporting text and results.” Public Library of Science, 2019.
[Published Version]
View
| Files available
| DOI
2017 | Journal Article | IST-REx-ID: 613 |
R. P. Chait, J. Ruess, T. Bergmiller, G. Tkačik, and C. C. Guet, “Shaping bacterial population behavior through computer interfaced control of individual cells,” Nature Communications, vol. 8, no. 1. Nature Publishing Group, 2017.
[Published Version]
View
| Files available
| DOI
2016 | Journal Article | IST-REx-ID: 1148
C. Schilling, S. Bogomolov, T. A. Henzinger, A. Podelski, and J. Ruess, “Adaptive moment closure for parameter inference of biochemical reaction networks,” Biosystems, vol. 149. Elsevier, pp. 15–25, 2016.
View
| Files available
| DOI
2015 | Journal Article | IST-REx-ID: 10794 |
F. Parise, J. Lygeros, and J. Ruess, “Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study,” Frontiers in Environmental Science, vol. 3. Frontiers, 2015.
[Published Version]
View
| Files available
| DOI
2015 | Journal Article | IST-REx-ID: 1539 |
J. Ruess, “Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space,” Journal of Chemical Physics, vol. 143, no. 24. American Institute of Physics, 2015.
[Published Version]
View
| Files available
| DOI
2015 | Journal Article | IST-REx-ID: 1538 |
J. Ruess, F. Parise, A. Milias Argeitis, M. Khammash, and J. Lygeros, “Iterative experiment design guides the characterization of a light-inducible gene expression circuit,” PNAS, vol. 112, no. 26. National Academy of Sciences, pp. 8148–8153, 2015.
[Submitted Version]
View
| DOI
| Download Submitted Version (ext.)
| PubMed | Europe PMC
2015 | Conference Paper | IST-REx-ID: 1658
S. Bogomolov, T. A. Henzinger, A. Podelski, J. Ruess, and C. Schilling, “Adaptive moment closure for parameter inference of biochemical reaction networks,” vol. 9308. Springer, pp. 77–89, 2015.
View
| Files available
| DOI