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The Journal of Chemical Physics|August 22, 2016
Finite state projection based bounds to compare chemical master equation models using single-cell dataZachary Fox, Gregor Neuert, Brian MunskyMethods (San Diego, Calif.)|June 17, 2015
Integrating single-molecule experiments and discrete stochastic models to understand heterogeneous gene transcription dynamicsBrian Munsky, Zachary Fox, Gregor NeuertPhysical Biology|June 19, 2015
From analog to digital models of gene regulationBrian Munsky, Gregor NeuertScience (New York, N.Y.)|April 14, 2012
Using gene expression noise to understand gene regulationBrian Munsky, Gregor Neuert, Alexander van OudenaardenComplexity|September 28, 2020
Optimal Design of Single-Cell Experiments within Temporally Fluctuating EnvironmentsZachary R Fox, Gregor Neuert, Brian MunskySTAR Protocols|July 21, 2021
Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responsesHossein Jashnsaz, Zachary R Fox, Brian Munsky, et al.Proceedings of the National Academy of Sciences of the United States of America|July 1, 2018
Distribution shapes govern the discovery of predictive models for gene regulationBrian Munsky, Guoliang Li, Zachary R Fox, et al.Iscience|October 21, 2020
Diverse Cell Stimulation Kinetics Identify Predictive Signal Transduction ModelsHossein Jashnsaz, Zachary R Fox, Jason J Hughes, et al.Science (New York, N.Y.)|February 2, 2013
Systematic identification of signal-activated stochastic gene regulationGregor Neuert, Brian Munsky, Rui Zhen Tan, et al.The Journal of Physical Chemistry. B|February 20, 2019
Bayesian Estimation for Stochastic Gene Expression Using Multifidelity ModelsHuy D Vo, Zachary Fox, Ania Baetica, et al.Pageof 9