7 Publications

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[7]
2019 | Journal Article | IST-REx-ID: 6784 | OA
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.
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[6]
2017 | Journal Article | IST-REx-ID: 613 | OA
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.
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[5]
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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[4]
2015 | Journal Article | IST-REx-ID: 1861
J. Ruess and J. Lygeros, “Moment-based methods for parameter inference and experiment design for stochastic biochemical reaction networks,” ACM Transactions on Modeling and Computer Simulation, vol. 25, no. 2. ACM, 2015.
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[3]
2015 | Journal Article | IST-REx-ID: 1538 | OA
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.
View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[2]
2015 | Journal Article | IST-REx-ID: 1539 | OA
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.
View | Files available | DOI
 
[1]
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
 

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7 Publications

Mark all

[7]
2019 | Journal Article | IST-REx-ID: 6784 | OA
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.
View | Files available | DOI
 
[6]
2017 | Journal Article | IST-REx-ID: 613 | OA
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.
View | Files available | DOI
 
[5]
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
 
[4]
2015 | Journal Article | IST-REx-ID: 1861
J. Ruess and J. Lygeros, “Moment-based methods for parameter inference and experiment design for stochastic biochemical reaction networks,” ACM Transactions on Modeling and Computer Simulation, vol. 25, no. 2. ACM, 2015.
View | DOI
 
[3]
2015 | Journal Article | IST-REx-ID: 1538 | OA
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.
View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[2]
2015 | Journal Article | IST-REx-ID: 1539 | OA
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.
View | Files available | DOI
 
[1]
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
 

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