92 citations · 135 across the 4 of their papers we have counts for
4 papers
Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo
Thomas A. Catanach, Huy D. Vo, Brian Munsky
Stochastic reaction network models are often used to explain and predict the dynamics of gene regulation in single cells. These models usually involve several parameters, such as t…
Stochasticity or Noise in Biochemical Reactions
Zachary Fox, Brian Munsky
Heterogeneity in gene expression across isogenic cell populations can give rise to phenotypic diversity, even when cells are in homogenous environments. This diversity arises from…
Specificity and Completion Time Distributions of Biochemical Processes
Brian Munsky, Golan Bel, Ilya Nemenman
In order to produce specific complex structures from a large set of similar biochemical building blocks, many biochemical systems require high sensitivity to small molecular differ…
Simplicity of Completion Time Distributions for Common Complex Biochemical Processes
Golan Bel, Brian Munsky, Ilya Nemenman
Biochemical processes typically involve huge numbers of individual reversible steps, each with its own dynamical rate constants. For example, kinetic proofreading processes rely up…