Construct composite modules on tracks (analysis)

Analysis title

Construct composite modules on tracks

Provider

Institute of Systems Biology

Description

Predict composite module using site search on tracks result

Parameters:

• Experiment track – Path to experiment ('yes') track
• Control track – Path to control ('no') track
• Genetic algorithm parameters (expert) – Genetic algorithm parameters
  • Number of iterations – Number of iterations
  • Population size – Population size
  • Non-change limit – Number of iterations to stop after if best score is not improved
  • Elite size – Number of elite organisms (i.e. best organisms to survive unconditionally)
  • Mutation rate – This controls how often mutation occurs and how significant they are (0..1)
• Score calculation parameters (expert) – Parameters which control score calculation
  • Penalty rate – Which penalty value will be assigned
  • Site models in focus – At least one of these models must present in the resulting composite model to have non-zero score
  • All modules contains site model in focus – If checked, then each module must contain at least one site model from the focus
• Model parameters – Model parameters
  • Min modules – Minimal number of modules
  • Max modules – Maximal number of modules
  • Gaussian model (expert) – Gaussian model
    • Min models – Minimal number of site models in module
    • Max models – Maximal number of site models in module
    • Min sites to account – Minimal number of sites to account
    • Max sites to account – Maximal number of sites to account
    • Min module width – Minimal width (sigma) of the module
    • Max module width – Maximal width (sigma) of the module
• Output path – Path to store result