ODE Pathway Models
The ODE approach provides a scalable alternative to exact stochastic simulation for large systems where CTMC calibration is expensive. The framework represents cell-to-cell variability with bounded intervals for initial concentrations and…
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The ODE approach provides a scalable alternative to exact stochastic simulation for large systems where CTMC calibration is expensive. The framework represents cell-to-cell variability with bounded intervals for initial concentrations and parameter values. ODE pathway models represent molecular species as variables and kinetic constants as parameters. Continuously differentiable ODE vector fields ensure unique solutions for sampled initial states and parameters. A uniform distribution is placed over INIT by default unless prior information is available.