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The Journal of Chemical Physics
|
May 17, 2013
Steady-state simulation of metastable stochastic chemical systems
Andreas Milias-Argeitis, John Lygeros
Journal of the Royal Society, Interface
|
August 3, 2021
Uncertainty propagation for deterministic models of biochemical networks using moment equations and the extended Kalman filter
Tamara Kurdyaeva, Andreas Milias-Argeitis
Journal of the Royal Society, Interface
|
July 28, 2017
Dynamic disorder in simple enzymatic reactions induces stochastic amplification of substrate
Ankit Gupta, Andreas Milias-Argeitis, Mustafa Khammash
The Journal of Chemical Physics
|
July 17, 2014
Fast variance reduction for steady-state simulation and sensitivity analysis of stochastic chemical systems using shadow function estimators
Andreas Milias-Argeitis, John Lygeros, Mustafa Khammash
Bioinformatics (Oxford, England)
|
April 8, 2025
Gradient matching accelerates mixed-effects inference for biochemical networks
Yulan B van Oppen, Andreas Milias-Argeitis
STAR Protocols
|
June 17, 2022
A user-friendly and streamlined protocol for CRISPR/Cas9 genome editing in budding yeast
Daniele Novarina, Andriana Koutsoumpa, Andreas Milias-Argeitis
Journal of Molecular Biology
|
October 25, 2021
Vacuolar Localization via the N-terminal Domain of Sch9 is Required for TORC1-dependent Phosphorylation and Downstream Signal Transduction
Daniele Novarina, Paolo Guerra, Andreas Milias-Argeitis
Journal of the Royal Society, Interface
|
August 30, 2013
Designing experiments to understand the variability in biochemical reaction networks
Jakob Ruess, Andreas Milias-Argeitis, John Lygeros
Scientific Reports
|
February 3, 2018
Dynamic single-cell NAD(P)H measurement reveals oscillatory metabolism throughout the E. coli cell division cycle
Zheng Zhang, Andreas Milias-Argeitis, Matthias Heinemann
Journal of the Royal Society, Interface
|
November 27, 2015
Stochastic focusing coupled with negative feedback enables robust regulation in biochemical reaction networks
Andreas Milias-Argeitis, Stefan Engblom, Pavol Bauer, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 30) with videos related to
Sort By:
Page
of 3
The Journal of Chemical Physics
|
May 17, 2013
Steady-state simulation of metastable stochastic chemical systems
Andreas Milias-Argeitis, John Lygeros
Journal of the Royal Society, Interface
|
August 3, 2021
Uncertainty propagation for deterministic models of biochemical networks using moment equations and the extended Kalman filter
Tamara Kurdyaeva, Andreas Milias-Argeitis
Journal of the Royal Society, Interface
|
July 28, 2017
Dynamic disorder in simple enzymatic reactions induces stochastic amplification of substrate
Ankit Gupta, Andreas Milias-Argeitis, Mustafa Khammash
The Journal of Chemical Physics
|
July 17, 2014
Fast variance reduction for steady-state simulation and sensitivity analysis of stochastic chemical systems using shadow function estimators
Andreas Milias-Argeitis, John Lygeros, Mustafa Khammash
Bioinformatics (Oxford, England)
|
April 8, 2025
Gradient matching accelerates mixed-effects inference for biochemical networks
Yulan B van Oppen, Andreas Milias-Argeitis
STAR Protocols
|
June 17, 2022
A user-friendly and streamlined protocol for CRISPR/Cas9 genome editing in budding yeast
Daniele Novarina, Andriana Koutsoumpa, Andreas Milias-Argeitis
Journal of Molecular Biology
|
October 25, 2021
Vacuolar Localization via the N-terminal Domain of Sch9 is Required for TORC1-dependent Phosphorylation and Downstream Signal Transduction
Daniele Novarina, Paolo Guerra, Andreas Milias-Argeitis
Journal of the Royal Society, Interface
|
August 30, 2013
Designing experiments to understand the variability in biochemical reaction networks
Jakob Ruess, Andreas Milias-Argeitis, John Lygeros
Scientific Reports
|
February 3, 2018
Dynamic single-cell NAD(P)H measurement reveals oscillatory metabolism throughout the E. coli cell division cycle
Zheng Zhang, Andreas Milias-Argeitis, Matthias Heinemann
Journal of the Royal Society, Interface
|
November 27, 2015
Stochastic focusing coupled with negative feedback enables robust regulation in biochemical reaction networks
Andreas Milias-Argeitis, Stefan Engblom, Pavol Bauer, et al.
Page
of 3