Pages that link to "Item:Q2971484"
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The following pages link to Approximation and inference methods for stochastic biochemical kinetics—a tutorial review (Q2971484):
Displaying 50 items.
- Efficient parametric inference for stochastic biological systems with measured variability (Q461689) (← links)
- Diagnostics for assessing the linear noise and moment closure approximations (Q521438) (← links)
- Probabilistic approximations of ODEs based bio-pathway dynamics (Q533363) (← links)
- Stochastic hybrid models of gene regulatory networks -- a PDE approach (Q669087) (← links)
- Moment closure based parameter inference of stochastic kinetic models (Q746274) (← links)
- Mixture distributions in a stochastic gene expression model with delayed feedback: a WKB approximation approach (Q782889) (← links)
- A selective view of stochastic inference and modeling problems in nanoscale biophysics (Q1042953) (← links)
- Trajectory inference and parameter estimation in stochastic models with temporally aggregated data (Q1616781) (← links)
- Investigating the two-moment characterisation of subcellular biochemical networks (Q1625891) (← links)
- Time-dependent propagators for stochastic models of gene expression: an analytical method (Q1659718) (← links)
- A stochastic model of corneal epithelium maintenance and recovery following perturbation (Q1741527) (← links)
- Inferring parameters for a lattice-free model of cell migration and proliferation using experimental data (Q1752400) (← links)
- Least squares estimation in stochastic biochemical networks (Q1758104) (← links)
- Model checking Markov population models by stochastic approximations (Q1784959) (← links)
- Stochastic rate parameter inference using the cross-entropy method (Q1796493) (← links)
- LNA++: linear noise approximation with first and second order sensitivities (Q1796531) (← links)
- Stochastic kinetic models for small irreversible systems (Q1844630) (← links)
- Robustly simulating biochemical reaction kinetics using multi-level Monte Carlo approaches (Q2002336) (← links)
- Stochastic chemical reaction networks for robustly approximating arbitrary probability distributions (Q2007716) (← links)
- Effects of different discretisations of the Laplacian upon stochastic simulations of reaction-diffusion systems on both static and growing domains (Q2029642) (← links)
- Analysis of Markov jump processes under terminal constraints (Q2044200) (← links)
- Automated deep abstractions for stochastic chemical reaction networks (Q2051806) (← links)
- Open problems in mathematical biology (Q2103610) (← links)
- On non-ideal chemical-reaction networks and phase separation (Q2107268) (← links)
- Bayesian learning of effective chemical master equations in crowded intracellular conditions (Q2112158) (← links)
- Automated generation of conditional moment equations for stochastic reaction networks (Q2112168) (← links)
- Variance of filtered signals: characterization for linear reaction networks and application to neurotransmission dynamics (Q2118488) (← links)
- Fast reactions with non-interacting species in stochastic reaction networks (Q2130335) (← links)
- Identifiability analysis for models of the translation kinetics after mRNA transfection (Q2140028) (← links)
- Protein noise and distribution in a two-stage gene-expression model extended by an mRNA inactivation loop (Q2142119) (← links)
- Modulation of nuclear and cytoplasmic mRNA fluctuations by time-dependent stimuli: analytical distributions (Q2147420) (← links)
- Parameter inference with analytical propagators for stochastic models of autoregulated gene expression (Q2159182) (← links)
- Revisiting moment-closure methods with heterogeneous multiscale population models (Q2164664) (← links)
- Time-dependent product-form Poisson distributions for reaction networks with higher order complexes (Q2182302) (← links)
- On real-valued SDE and nonnegative-valued SDE population models with demographic variability (Q2192658) (← links)
- Application of the Goodwin model to autoregulatory feedback for stochastic gene expression (Q2207131) (← links)
- Analytic solutions for stochastic hybrid models of gene regulatory networks (Q2223255) (← links)
- Collocation based training of neural ordinary differential equations (Q2236696) (← links)
- Long lived transients in gene regulation (Q2238202) (← links)
- A large-scale assessment of exact lumping of quantitative models in the biomodels repository (Q2238205) (← links)
- Sensitivity analysis of the reaction occurrence and recurrence times in steady-state biochemical networks (Q2240231) (← links)
- Solving the chemical master equation for monomolecular reaction systems and beyond: a Doi-Peliti path integral view (Q2244935) (← links)
- Fluid approximation of broadcasting systems (Q2306023) (← links)
- The linear noise approximation for spatially dependent biochemical networks (Q2325565) (← links)
- Quasi-Monte Carlo methods applied to tau-leaping in stochastic biological systems (Q2325567) (← links)
- Spatial stochastic intracellular kinetics: a review of modelling approaches (Q2325568) (← links)
- Finite state projection for approximating the stationary solution to the chemical master equation using reaction rate equations (Q2328496) (← links)
- Efficient sampling of conditioned Markov jump processes (Q2329829) (← links)
- A constrained Langevin approximation for chemical reaction networks (Q2415508) (← links)
- Embracing noise in chemical reaction networks (Q2417509) (← links)