Difference between revisions of "Sample population (analysis)"

Latest revision as of 18:15, 9 December 2020

Analysis title

Sample population

Provider

Institute of Systems Biology

Class

PopulationSampling

Plugin

biouml.plugins.pharm (Support for Pharmocological models)

[edit] Description

Sample population.

[edit] Parameters:

• Diagram – Diagram.
• Experimental data – Experimental data
• Initial values – Mean and variance values for estimated variables.
• Result path – Result Path.
• Population size per chain – Population size per chain.
• Preliminary steps – Preliminary steps
• Acceptance rate – Acceptance rate
• Random seed – Seed for random algorithms. 0 means seed defined by time (recommended)
• Observed variables – Observed variables
• Variables to estimate – Variables to estimate
• Simulation options – Simulation options
  • Selected engine – Selected simulation engine.
  • Java simulation engine – Deterministic simulation engine to solve system of odinary differential equations.
    • Initial time – Initial time.
    • Completion time – Completion time.
    • Time increment – Time increment.
    • Simulator name – Simulator name.
    • Simulator options – Simulator options.
      • Absolute tolerance – Absolute tolerance.
      • Relative tolerance – Relative tolerance.
      • Statistics mode – Statistics mode.
      • Integration method – Integration method (ADAMS or BDF)
      • Inner linear solver type – Inner linear solver type
      • Jacobian approximation type – Jacobian approximation type
      • Steps limit – Limitation for solver steps count
      • Minimum time step – Minimum time step.
      • Maximum time step inverted – 1 / maximum time step.
      • Mu – Upper bandwidth of Banded Jacobian
      • Ml – Lower bandwidth of Banded Jacobian
      • Detect incorrect numbers (NaNs and Infs) – If true then simulation will end when NaN or Infinity encountered
    • Code generation type – Type of code generation: if auto then BioUML will try to choose by itself.
    • Constraints violation – How to handle constraints violation in the model.
    • Fast reactions handling – Method to handle fast reactions: either as separate ODE system with very fast rate or as algebraic system.
    • Algebraic solver name – Name of algebraic solver which will be used
    • Algebraic Solver parameters – Parameters of algebraic solver which will be used
      • Maximum iterations – Maximum iterations
      • Function tolerance – Function tolerance
      • Minimal gradient tolerance – Minimal gradient tolerance
      • Points tolerance – Points tolerance