Bayesian learning of effective chemical master equations in crowded intracellular conditions

DOI10.1007/978-3-031-15034-0_12zbMath1505.92071arXiv2205.06268OpenAlexW4292227672MaRDI QIDQ2112158

Ramon Grima, Guido Sanguinetti, Svitlana Braichenko

Publication date: 18 January 2023

Full work available at URL: https://arxiv.org/abs/2205.06268

zbMATH Keywords

inferencestochastic reactionscrowding

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Cell biology (92C37) Computational methods for problems pertaining to biology (92-08) Systems biology, networks (92C42)

Uses Software

• Smoldyn

Cites Work

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• Stochastic methods. A handbook for the natural and social sciences
• Convergence properties of the expected improvement algorithm with fixed mean and covariance functions
• Effect of excluded volume on 2D discrete stochastic chemical kinetics
• Lattice-gas cellular automata and lattice Boltzmann models. An introduction
• Approximation and inference methods for stochastic biochemical kinetics—a tutorial review
• The frontier of simulation-based inference
• Parameter estimation for biochemical reaction networks using Wasserstein distances
• Optimal Transport

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