Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art
Stochasticity is a key characteristic of intracellular processes such as gene regulation and chemical signalling. Therefore, characterizing stochastic effects in biochemical systems is essential to understand the complex dynamics of living things. Mathematical idealizations of biochemically reacting...
Príomhchruthaitheoirí: | Warne, D, Baker, R, Simpson, M |
---|---|
Formáid: | Journal article |
Foilsithe / Cruthaithe: |
Royal Society
2019
|
Míreanna comhchosúla
Míreanna comhchosúla
-
Rapid Bayesian inference for expensive stochastic models
de réir: Warne, DJ, et al.
Foilsithe / Cruthaithe: (2021) -
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes
de réir: Warne, D, et al.
Foilsithe / Cruthaithe: (2022) -
Fast simulation of stochastic biochemical reaction networks on cytomorphic chips
de réir: Woo, Sung Sik, Ph. D. Massachusetts Institute of Technology
Foilsithe / Cruthaithe: (2017) -
HSimulator: Hybrid Stochastic/Deterministic Simulation of Biochemical Reaction Networks
de réir: Luca Marchetti, et al.
Foilsithe / Cruthaithe: (2017-01-01) -
Statistical inference : basic concepts /
de réir: 409085 Ellis, Richard B.
Foilsithe / Cruthaithe: (1975)