341 citations · 1.7k across the 37 of their papers we have counts for
38 papers
Solving stochastic gene expression models using queueing theory: a tutorial review
Juraj Szavits-Nossan, Ramon Grima
Stochastic models of gene expression are typically formulated using the chemical master equation, which can be solved exactly or approximately using a repertoire of analytical meth…
Uncovering the effect of RNA polymerase steric interactions on gene expression noise: analytical distributions of nascent and mature RNA numbers
Juraj Szavits-Nossan, Ramon Grima
The telegraph model is the standard model of stochastic gene expression, which can be solved exactly to obtain the distribution of mature RNA numbers per cell. A modification of th…
Model Reduction for the Chemical Master Equation: an Information-Theoretic Approach
K. Öcal, G. Sanguinetti, R. Grima
The complexity of mathematical models in biology has rendered model reduction an essential tool in the quantitative biologist's toolkit. For stochastic reaction networks described…
Bayesian learning of effective chemical master equations in crowded intracellular conditions
Svitlana Braichenko, Ramon Grima, Guido Sanguinetti
Biochemical reactions inside living cells often occur in the presence of crowders -- molecules that do not participate in the reactions but influence the reaction rates through exc…
Regulation of stem cell dynamics through volume exclusion
Rodrigo García-Tejera, Linus Schumacher, Ramon Grima
Maintenance and regeneration of adult tissues rely on the self-renewal of stem cells. Regeneration without over-proliferation requires precise regulation of the stem cell prolifera…
MomentClosure.jl: automated moment closure approximations in Julia
Augustinas Sukys, Ramon Grima
MomentClosure.jl is a Julia package providing automated derivation of the time-evolution equations of the moments of molecule numbers for virtually any chemical reaction network us…