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Number of items: 7.

Falk, J. and Bronstein, L. and Hanst, M. and Drossel, B. and Koeppl, H. (2019):
Context in Synthetic Biology: Memory Effects of Environments with Mono-molecular Reactions.
In: The Journal of Chemical Physics, 150 (2), American Institute of Physics, ISSN 0021-9606,
DOI: 10.1063/1.5053816,
[Article]

Bronstein, L. and Koeppl, H. (2018):
Marginal process framework: A model reduction tool for Markov jump processes.
In: Physical Review E, 97 (6), American Physical Society, ISSN 2470-0045,
DOI: 10.1103/PhysRevE.97.062147,
[Article]

Bronstein, L. and Koeppl, H. (2018):
A variational approach to moment-closure approximations for the kinetics of biomolecular reaction networks.
In: The Journal of Chemical Physics, 148 (1), American Institute of Physics (AIP), ISSN 00219606,
DOI: 10.1063/1.5003892,
[Article]

Bronstein, L. and Diemer, J. and Koeppl, H. and Schneider, C. and Suess, Beatrix (2017):
ROC'n'Ribo: Characterizing a riboswitching expression system by modeling single-cell data.
In: ACS Synthetic Biology, (7), pp. 1211-1224. ACS, ISSN 2161-5063,
[Article]

Bronstein, L. and Koeppl, H. (2016):
Scalable inference using PMCMC and parallel tempering for high-throughput measurements of biomolecular reaction networks.
55th IEEE Conference on Decision and Control, Las Vegas, December 2016, [Conference or Workshop Item]

Bronstein, L. and Koeppl, H. (2016):
A Diagram Technique for cumulant equations in biomolecular reaction networks with mass-action kinetics.
55th IEEE Conference on Decision and Control, Las Vegas, USA, December 2016, [Conference or Workshop Item]

Bronstein, L. and Zechner, C. and Koeppl, H. (2015):
Bayesian inference of reaction kinetics from single-cell recordings across a heterogeneous cell population.
In: ScienceDirect - Methods, 85, pp. 22-35. Elsevier, [Article]

This list was generated on Tue Jun 15 01:59:25 2021 CEST.