PDEparams

PDEparams implements parameter estimation for partial differential equation (PDE) models in Python to fit parameters for simulations of multi-cellular biological systems.

Key Features:

• Flexible Functionality: Integrates parameter analysis techniques with PDE model implementations in Python.
• Parameter Analysis Tools: Computes likelihood profiles and performs parametric bootstrapping for statistical inference of PDE model parameters.
• Visualization Capabilities: Generates visualizations of parameter estimation results and statistical summaries.

Scientific Applications:

• Systems Biology: Supports simulation and parameter estimation of multi-cellular biological processes modeled with PDEs.
• Model Validation: Enables validation of PDE-based theoretical models against experimental data through parameter fitting and statistical inference.

Methodology:

Implemented in Python and explicitly performs likelihood profile computation and parametric bootstrapping for statistical analysis of PDE model parameters.