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20162023
most citedSimulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art

102 citations · 119 across the 11 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

physics.comp-ph2019

Effects of different discretisations of the Laplacian upon stochastic simulations of reaction-diffusion systems on both static and growing domains

Bartosz J. Bartmanski, Ruth E. Baker

By discretising space into compartments and letting system dynamics be governed by the reaction-diffusion master equation, it is possible to derive and simulate a stochastic model…

q-bio.CB2019

Convergence of solutions in a mean-field model of go-or-grow type with reservation of sites for proliferation and cell cycle delay

Ruth E. Baker, Péter Boldog, Gergely Röst

We consider the mean-field approximation of an individual-based model describing cell motility and proliferation, which incorporates the volume exclusion principle, the go-or-grow…

cond-mat.stat-mech2019

Displacement of transport processes on networked topologies

Daniel B. Wilson, Ruth E. Baker, Francis G. Woodhouse

Consider a particle whose position evolves along the edges of a network. One definition for the displacement of a particle is the length of the shortest path on the network between…

q-bio.MN2019★ 102 cited

Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art

David J. Warne, Ruth E. Baker, Matthew J. Simpson

Stochasticity is a key characteristic of intracellular processes such as gene regulation and chemical signalling. Therefore, characterising stochastic effects in biochemical system…

math.DS2019

Global dynamics of a novel delayed logistic equation arising from cell biology

Ruth E. Baker, Gergely Röst

The delayed logistic equation (also known as Hutchinson's equation or Wright's equation) was originally introduced to explain oscillatory phenomena in ecological dynamics. While it…