102 citations · 277 across the 26 of their papers we have counts for
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Simulation and inference methods for non-Markovian stochastic biochemical reaction networks
Thomas P. Steele, David J. Warne
Stochastic models of reaction networks are widely used to capture intrinsic noise in complex systems in the life sciences. Typical formulations of these models are based on Markov…
A practical guide to pseudo-marginal methods for computational inference in systems biology
David J. Warne, Ruth E. Baker, Matthew J. Simpson
For many stochastic models of interest in systems biology, such as those describing biochemical reaction networks, exact quantification of parameter uncertainty through statistical…
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…