Key Node Sensitivity Analysis

From BioUML platform
Jump to: navigation, search
Analysis title
Differential-algebraic-equations-Key-Node-Sensitivity-Analysis-icon.png Key Node Sensitivity Analysis
Provider
Institute of Systems Biology
Class
KeyNodesSensitivityAnalysis
Plugin
biouml.plugins.modelreduction (Model reduction plug-in)

Parameters:

  • Input diagram – Input diagram.
  • Experimental data – Experimental data
  • Key Nodes – Key Nodes
  • Type – Type
  • Name column – Name column
  • Time column – Time column
  • Data columns – Data columns
  • Absolute tolerance – Absolute tolerance for steady state.
  • Relative tolerance – Relative tolerance for steady state.
  • Steady state variables – Steady state variables
  • Result table – Result table
  • Simulation parameters – Simulation parameters.
    • 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
Personal tools
Namespaces

Variants
Actions
BioUML platform
Community
Modelling
Analysis & Workflows
Collaborative research
Development
Virtual biology
Wiki
Toolbox