7 citations · 7 across the 2 of their papers we have counts for
2 papers
stat.CO2020
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…
q-bio.QM2017★ 7 cited
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…