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Here `BNGNetwork` is a type specifying the file format that is being loaded, and `BNGRepressilator` specifies the type of the generated `min_reaction_network`, see [DiffEqBiological](https://github.com/JuliaDiffEq/DiffEqBiological.jl/). `prnbng` is a `ParsedReactionNetwork` structure with the following fields:
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-`rn`, a DiffEqBiological `min_reaction_network`
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-`rn`, a DiffEqBiological `reaction_network`
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-`u₀`, the initial condition (as a `Vector{Float64}`)
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-`p`, the parameter vector (as a `Vector{Float64}`)
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-`paramexprs`, the parameter vector as a mix of `Numbers`, `Symbols` and `Exprs`. `p` is generated by evaluation of these expressions and symbols.
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-`symstonames`, a `Dict` mapping from the internal `Symbol` of a species used in the generated `min_reaction_network` to a `Symbol` generated from the name in the .net file. This is necessary as BioNetGen can generate exceptionally long species names, involving characters that lead to malformed species names when used with `DiffEqBiological`.
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-`groupstoids`, a `Dict` mapping the `Symbols` (i.e. names) for any species groups defined in the .net file to a vector of indices into `u₀` where the corresponding species are stored.
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-`rnstr`, a string representation of the full DiffEqBiological DSL command that was evaluated to generate the network.
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Given `prnbng`, we can construct and solve the corresponding ODE model for the reaction system by
Here `RSSANetwork` specifies the type of the file to parse, and `RSSARxSys` gives the type of the generated `min_reaction_network`. `rssarn` is again a `ParsedReactionNetwork`, but only the `rn`, `u₀`and `rnstr` fields will now be relevant (the remaining fields will be set to `nothing`).
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Here `RSSANetwork` specifies the type of the file to parse, and `RSSARxSys` gives the type of the generated `reaction_network`. `rssarn` is again a `ParsedReactionNetwork`, but only the `rn`and `u₀` fields will now be relevant (the remaining fields will be set to `nothing`).
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