v0.2.0 (November 2020)

Updates:

• Create visualize.jl

  visualize(model, viz_type="best", show_all=true)

  • viz_type : String

    • "average":
      The average of simulation results with parameter sets in "fitparam/".
    • "best":
      The best simulation result in "fitparam/".
    • "original":
      Simulation with the default parameters and initial values defined in set_model.jl.
    • "n(=1,2,...)":
      Use the parameter set in "fitparam/n/".

  • show_all : Bool

    • Whether to show all simulation results.

  • stdev : Bool

    • If True, the standard deviation of simulated values will be shown (only available for "average" visualization type).

• Change Sim.normalization type from Bool to Dict:

  normalization = Dict{String, Dict{}}()
  for observable in observables
      normalization[observable] = Dict(
          "timepoint" => nothing,
          "condition" => []
      )
  end

  • "timepoint" : Union{Int, Nothing}

    • The time point at which simulated values are normalized. If nothing, the maximum value will be used for normalization.

  • "condition" : Vector{Stirng}

    • The experimental conditions to use for normalization. If empty, all conditions defined int Sim.conditions will be used.