The following pages link to Ramon Grima (Q383103):
Displaying 18 items.
- A graph-based approach for the approximate solution of the chemical master equation (Q383105) (← links)
- (Q1741526) (redirect page) (← links)
- A stochastic model of corneal epithelium maintenance and recovery following perturbation (Q1741527) (← links)
- Signatures of nonlinearity in single cell noise-induced oscillations (Q1790750) (← links)
- Bayesian learning of effective chemical master equations in crowded intracellular conditions (Q2112158) (← links)
- Modulation of nuclear and cytoplasmic mRNA fluctuations by time-dependent stimuli: analytical distributions (Q2147420) (← links)
- A continuum approximation to an off-lattice individual-cell based model of cell migration and adhesion (Q2415722) (← links)
- A mesoscopic simulation approach for modeling intracellular reactions (Q2641399) (← links)
- Statistics of nascent and mature RNA fluctuations in a stochastic model of transcriptional initiation, elongation, pausing, and termination (Q2659780) (← links)
- System size expansion using Feynman rules and diagrams (Q2936394) (← links)
- Approximation and inference methods for stochastic biochemical kinetics—a tutorial review (Q2971484) (← links)
- Corrigendum: Approximation and inference methods for stochastic biochemical kinetics—a tutorial review (2017 <i>J. Phys. A: Math. Theor</i>. <b>50</b> 093001) (Q4565029) (← links)
- An alternative route to the system-size expansion (Q4588400) (← links)
- The Status of the QSSA Approximation in Stochastic Simulations of Reaction Networks (Q5118790) (← links)
- Parameter estimation for biochemical reaction networks using Wasserstein distances (Q5870307) (← links)
- Steady-state fluctuations of a genetic feedback loop with fluctuating rate parameters using the unified colored noise approximation (Q5870734) (← links)
- Analysis of a detailed multi-stage model of stochastic gene expression using queueing theory and model reduction (Q6594574) (← links)
- Efficient and scalable prediction of stochastic reaction-diffusion processes using graph neural networks (Q6620156) (← links)
