sbiosobol | Perform global sensitivity analysis by computing first- and total-order Sobol indices (requires Statistics and Machine Learning Toolbox) |
sbiompgsa | Perform multiparametric global sensitivity analysis (requires Statistics and Machine Learning Toolbox) |
sbiosimulate | Simulate SimBiology model |
sbioaccelerate | Prepare model object for accelerated simulations |
createSimFunction | Create SimFunction object |
sbiosampleparameters | Generate parameters by sampling covariate model (requires Statistics and Machine Learning Toolbox software) |
sbiosampleerror | Sample error based on error model and add noise to simulation data |
addconfigset | Create configuration set object and add to model object |
getconfigset | Get configuration set object from model object |
getsensmatrix (SimData) | Get 3-D sensitivity matrix from SimData object |
SimBiology.gsa.Sobol | Object containing first- and total-order Sobol indices |
SimBiology.gsa.MPGSA | Object containing multiparametric global sensitivity analysis (MPGSA) results |
SensitivityAnalysisOptions | Specify sensitivity analysis options |
SimData | Simulation data |
Configset | Solver settings information for model simulation |
SolverOptions | Specify model solver options |
RuntimeOptions | Options for logged species |
CompileOptions | Dimensional analysis and unit conversion options |
SimFunction | Function-like interface to execute SimBiology models |
SimFunctionSensitivity | SimFunctionSensitivity object, subclass of SimFunction object |
Scenarios | Simulation scenarios |
SimBiology Model Builder | Build QSP, PK/PD, and mechanistic systems biology models interactively |
SimBiology Model Analyzer | Analyze QSP, PK/PD, and mechanistic systems biology models |
Find Important Parameters with Sensitivity Analysis Using SimBiology Model Analyzer App
Perform sensitivity analysis to find important model parameters.
Calculate Sensitivities Using sbiosimulate
This example uses the model described in Model of the Yeast Heterotrimeric G Protein Cycle to illustrate SimBiology® sensitivity analysis options.
Sensitivity Analysis in SimBiology
Sensitivity analysis lets you explore the effects of variations in model quantities (species, compartments, and parameters) on a model response.
Simulate dynamic models using various solvers.
Accelerating Model Simulations and Analyses
Accelerate the simulation or analysis by converting the model to compiled C code.