Jakob Ruess

Henzinger_Thomas Group
Tkacik Group

10 Publications

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[10]
2022 | Journal Article | IST-REx-ID: 10939 | OA
Davidović A, Chait RP, Batt G, Ruess J. 2022. Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level. PLoS Computational Biology. 18(3), e1009950.
[Published Version] View | Files available | DOI
 
[9]
2019 | Journal Article | IST-REx-ID: 6784 | OA
Ruess J, Pleska M, Guet CC, Tkačik G. 2019. Molecular noise of innate immunity shapes bacteria-phage ecologies. PLoS Computational Biology. 15(7), e1007168.
[Published Version] View | Files available | DOI | WoS
 
[8]
2019 | Research Data Reference | IST-REx-ID: 9786
Ruess J, Pleska M, Guet CC, Tkačik G. 2019. Supporting text and results, Public Library of Science, 10.1371/journal.pcbi.1007168.s001.
[Published Version] View | Files available | DOI
 
[7]
2017 | Journal Article | IST-REx-ID: 613 | OA
Chait RP, Ruess J, Bergmiller T, Tkačik G, Guet CC. 2017. Shaping bacterial population behavior through computer interfaced control of individual cells. Nature Communications. 8(1), 1535.
[Published Version] View | Files available | DOI
 
[6]
2016 | Journal Article | IST-REx-ID: 1148
Schilling C, Bogomolov S, Henzinger TA, Podelski A, Ruess J. 2016. Adaptive moment closure for parameter inference of biochemical reaction networks. Biosystems. 149, 15–25.
View | Files available | DOI
 
[5]
2015 | Journal Article | IST-REx-ID: 10794 | OA
Parise F, Lygeros J, Ruess J. 2015. Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study. Frontiers in Environmental Science. 3, 42.
[Published Version] View | Files available | DOI
 
[4]
2015 | Journal Article | IST-REx-ID: 1539 | OA
Ruess J. 2015. Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space. Journal of Chemical Physics. 143(24), 244103.
[Published Version] View | Files available | DOI
 
[3]
2015 | Journal Article | IST-REx-ID: 1538 | OA
Ruess J, Parise F, Milias Argeitis A, Khammash M, Lygeros J. 2015. Iterative experiment design guides the characterization of a light-inducible gene expression circuit. PNAS. 112(26), 8148–8153.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[2]
2015 | Conference Paper | IST-REx-ID: 1658
Bogomolov S, Henzinger TA, Podelski A, Ruess J, Schilling C. 2015. Adaptive moment closure for parameter inference of biochemical reaction networks. 9308, 77–89.
View | Files available | DOI
 
[1]
2015 | Journal Article | IST-REx-ID: 1861
Ruess J, Lygeros J. 2015. Moment-based methods for parameter inference and experiment design for stochastic biochemical reaction networks. ACM Transactions on Modeling and Computer Simulation. 25(2), 8.
View | DOI
 
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10 Publications

Mark all

[10]
2022 | Journal Article | IST-REx-ID: 10939 | OA
Davidović A, Chait RP, Batt G, Ruess J. 2022. Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level. PLoS Computational Biology. 18(3), e1009950.
[Published Version] View | Files available | DOI
 
[9]
2019 | Journal Article | IST-REx-ID: 6784 | OA
Ruess J, Pleska M, Guet CC, Tkačik G. 2019. Molecular noise of innate immunity shapes bacteria-phage ecologies. PLoS Computational Biology. 15(7), e1007168.
[Published Version] View | Files available | DOI | WoS
 
[8]
2019 | Research Data Reference | IST-REx-ID: 9786
Ruess J, Pleska M, Guet CC, Tkačik G. 2019. Supporting text and results, Public Library of Science, 10.1371/journal.pcbi.1007168.s001.
[Published Version] View | Files available | DOI
 
[7]
2017 | Journal Article | IST-REx-ID: 613 | OA
Chait RP, Ruess J, Bergmiller T, Tkačik G, Guet CC. 2017. Shaping bacterial population behavior through computer interfaced control of individual cells. Nature Communications. 8(1), 1535.
[Published Version] View | Files available | DOI
 
[6]
2016 | Journal Article | IST-REx-ID: 1148
Schilling C, Bogomolov S, Henzinger TA, Podelski A, Ruess J. 2016. Adaptive moment closure for parameter inference of biochemical reaction networks. Biosystems. 149, 15–25.
View | Files available | DOI
 
[5]
2015 | Journal Article | IST-REx-ID: 10794 | OA
Parise F, Lygeros J, Ruess J. 2015. Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study. Frontiers in Environmental Science. 3, 42.
[Published Version] View | Files available | DOI
 
[4]
2015 | Journal Article | IST-REx-ID: 1539 | OA
Ruess J. 2015. Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space. Journal of Chemical Physics. 143(24), 244103.
[Published Version] View | Files available | DOI
 
[3]
2015 | Journal Article | IST-REx-ID: 1538 | OA
Ruess J, Parise F, Milias Argeitis A, Khammash M, Lygeros J. 2015. Iterative experiment design guides the characterization of a light-inducible gene expression circuit. PNAS. 112(26), 8148–8153.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
[2]
2015 | Conference Paper | IST-REx-ID: 1658
Bogomolov S, Henzinger TA, Podelski A, Ruess J, Schilling C. 2015. Adaptive moment closure for parameter inference of biochemical reaction networks. 9308, 77–89.
View | Files available | DOI
 
[1]
2015 | Journal Article | IST-REx-ID: 1861
Ruess J, Lygeros J. 2015. Moment-based methods for parameter inference and experiment design for stochastic biochemical reaction networks. ACM Transactions on Modeling and Computer Simulation. 25(2), 8.
View | DOI
 
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    Citation Style: ISTA Annual Report

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