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Ankit Gupta
Ankit Gupta
Senior Scientist, Department of Biosystems Science and Engineering, ETH Zurich.
Bestätigte E-Mail-Adresse bei bsse.ethz.ch - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Antithetic Integral Feedback Ensures Robust Perfect Adaptation in Noisy Biomolecular Networks
C Briat, A Gupta, M Khammash
Cell Systems 2 (1), 15-26, 2016
4072016
A universal biomolecular integral feedback controller for robust perfect adaptation
SK Aoki, G Lillacci, A Gupta, A Baumschlager, D Schweingruber, ...
Nature 570 (7762), 533-537, 2019
2952019
A scalable computational framework for establishing long-term behavior of stochastic reaction networks
A Gupta, C Briat, M Khammash
PLoS computational biology 10 (6), e1003669, 2014
1102014
Antithetic proportional-integral feedback for reduced variance and improved control performance of stochastic reaction networks
C Briat, A Gupta, M Khammash
Journal of The Royal Society Interface 15 (143), 20180079, 2018
79*2018
A finite state projection algorithm for the stationary solution of the chemical master equation
A Gupta, J Mikelson, M Khammash
The Journal of Chemical Physics 147 (15), 154101, 2017
722017
Adaptive hybrid simulations for multiscale stochastic reaction networks
B Hepp, A Gupta, M Khammash
The Journal of chemical physics 142 (3), 2015
582015
Noise Induces the Population-Level Entrainment of Incoherent, Uncoupled Intracellular Oscillators
A Gupta, B Hepp, M Khammash
Cell Systems 3 (6), 521-531, 2016
352016
Unbiased estimation of parameter sensitivities for stochastic chemical reaction networks
A Gupta, M Khammash
SIAM Journal on Scientific Computing 35 (6), A2598-A2620, 2013
282013
An efficient and unbiased method for sensitivity analysis of stochastic reaction networks
A Gupta, M Khammash
Journal of The Royal Society Interface 11 (101), 20140979, 2014
262014
A hidden integral structure endows absolute concentration robust systems with resilience to dynamical concentration disturbances
D Cappelletti, A Gupta, M Khammash
Journal of the Royal Society Interface 17 (171), 20200437, 2020
242020
DeepCME: A deep learning framework for computing solution statistics of the chemical master equation
A Gupta, C Schwab, M Khammash
PLoS computational biology 17 (12), e1009623, 2021
232021
Universal structural requirements for maximal robust perfect adaptation in biomolecular networks
A Gupta, M Khammash
Proceedings of the National Academy of Sciences 119 (43), e2207802119, 2022
222022
Sensitivity analysis for stochastic chemical reaction networks with multiple time-scales
A Gupta, M Khammash
222014
Decimal expansion of 1/p and subgroup sums
A Gupta, B Sury
Integers: Electronic Journal of Combinatorial Number Theory 5 (1), 1-11, 2005
222005
Determining the long-term behavior of cell populations: A new procedure for detecting ergodicity in large stochastic reaction networks
A Gupta, M Khammash
IFAC World Congress 2014 19 (1), 1711-1716, 2013
202013
An antithetic integral rein controller for bio-molecular networks
A Gupta, M Khammash
2019 IEEE 58th Conference on Decision and Control (CDC), 2808-2813, 2019
192019
Computational identification of irreducible state-spaces for stochastic reaction networks
A Gupta, M Khammash
SIAM Journal on Applied Dynamical Systems 17 (2), 1213-1266, 2018
17*2018
Frequency spectra and the color of cellular noise
A Gupta, M Khammash
Nature communications 13 (1), 4305, 2022
142022
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), 20170311, 2017
142017
Stochastic model for cell polarity
A Gupta
142012
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