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Andreas Milias-Argeitis
Andreas Milias-Argeitis
Associate Professor, University of Groningen
Verified email at rug.nl - Homepage
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Cited by
Cited by
Year
In silico feedback for in vivo regulation of a gene expression circuit
A Milias-Argeitis, S Summers, J Stewart-Ornstein, I Zuleta, D Pincus, ...
Nature biotechnology 29 (12), 1114-1116, 2011
3102011
Automated optogenetic feedback control for precise and robust regulation of gene expression and cell growth
A Milias-Argeitis, M Rullan, SK Aoki, P Buchmann, M Khammash
Nature communications 7 (1), 1-11, 2016
2012016
An optogenetic platform for real-time, single-cell interrogation of stochastic transcriptional regulation
M Rullan, D Benzinger, GW Schmidt, A Milias-Argeitis, M Khammash
Molecular cell 70 (4), 745-756. e6, 2018
1122018
Designing experiments to understand the variability in biochemical reaction networks
J Ruess, A Milias-Argeitis, J Lygeros
Journal of The Royal Society Interface 10 (88), 20130588, 2013
702013
Iterative experiment design guides the characterization of a light-inducible gene expression circuit
J Ruess, F Parise, A Milias-Argeitis, M Khammash, J Lygeros
Proceedings of the National Academy of Sciences 112 (26), 8148-8153, 2015
672015
Differential scaling between G1 protein production and cell size dynamics promotes commitment to the cell division cycle in budding yeast
A Litsios, DHEW Huberts, HM Terpstra, P Guerra, A Schmidt, K Buczak, ...
Nature cell biology 21 (11), 1382-1392, 2019
542019
Moment estimation for chemically reacting systems by extended Kalman filtering
J Ruess, A Milias-Argeitis, S Summers, J Lygeros
The Journal of chemical physics 135 (16), 10B621, 2011
442011
Stochastic dynamics of genetic networks: modelling and parameter identification
E Cinquemani, A Milias-Argeitis, S Summers, J Lygeros
Bioinformatics 24 (23), 2748-2754, 2008
392008
Attaining mean square boundedness of a marginally stable stochastic linear system with a bounded control input
F Ramponi, D Chatterjee, A Milias-Argeitis, P Hokayem, J Lygeros
IEEE Transactions on Automatic Control 55 (10), 2414-2418, 2010
372010
Assessment of the interaction between the flux‐signaling metabolite fructose‐1, 6‐bisphosphate and the bacterial transcription factors CggR and Cra
B Bley Folly, AD Ortega, G Hubmann, S Bonsing‐Vedelaar, HJ Wijma, ...
Molecular Microbiology 109 (3), 278-290, 2018
202018
Dynamic single-cell NAD (P) H measurement reveals oscillatory metabolism throughout the E. coli cell division cycle
Z Zhang, A Milias-Argeitis, M Heinemann
Scientific reports 8 (1), 1-10, 2018
202018
Local identification of piecewise deterministic models of genetic networks
E Cinquemani, A Milias-Argeitis, S Summers, J Lygeros
International Workshop on Hybrid Systems: Computation and Control, 105-119, 2009
182009
Stochastic focusing coupled with negative feedback enables robust regulation in biochemical reaction networks
A Milias-Argeitis, S Engblom, P Bauer, M Khammash
Journal of The Royal Society Interface 12 (113), 20150831, 2015
172015
Elucidation of genetic interactions in the yeast GATA-factor network using Bayesian model selection
A Milias-Argeitis, AP Oliveira, L Gerosa, L Falter, U Sauer, J Lygeros
PLoS computational biology 12 (3), e1004784, 2016
132016
Parameter inference for stochastic single-cell dynamics from lineage tree data
I Kuzmanovska, A Milias-Argeitis, J Mikelson, C Zechner, M Khammash
BMC systems biology 11 (1), 1-13, 2017
122017
Optimization-based Lyapunov function construction for continuous-time Markov chains with affine transition rates
A Milias-Argeitis, M Khammash
Proceedings of 53rd IEEE Conference on Decision and Control December 15-17 …, 2014
122014
Inference of the high-level interaction topology between the metabolic and cell-cycle oscillators from single-cell dynamics
S Özsezen, A Papagiannakis, H Chen, B Niebel, A Milias-Argeitis, ...
Cell systems 9 (4), 354-365. e6, 2019
102019
Bayesian model selection for the yeast GATA-factor network: a comparison of computational approaches
A Milias-Argeitis, R Porreca, S Summers, J Lygeros
49th IEEE Conference on Decision and Control (CDC), 3379-3384, 2010
102010
Dynamic disorder in simple enzymatic reactions induces stochastic amplification of substrate
A Gupta, A Milias-Argeitis, M Khammash
Journal of the Royal Society Interface 14 (132), 2017
92017
Optogenetic single-cell control of transcription achieves mrna tunability and reduced variability
M Rullan, D Benzinger, GW Schmidt, A Gupta, A Milias-Argeitis, ...
BioRxiv, 142893, 2017
82017
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Articles 1–20