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See:
Description
| Class Summary | |
|---|---|
| AutocatalyticNetworkExample | Here, the evolution of a reaction network as proposed by [1] is performed. |
| CellGrowthObserver | Does not observe anything, but it controls the reaction networks cell. |
| CompositionRejectionStressTest | |
| DecayingDimerizingHistogramDistances | Demonstration of performance and accuracy differences of the different simulation algorithms. |
| DecayingDimerizingInteractive | Demonstration of performance and accuracy differences of the different simulation algorithms. |
| DecayingDimerizingPlots | Deprecated. |
| Dsmts | Perform a series of tests (refer to http://www.calibayes.ncl.ac.uk/Resources/dsmts). |
| ExamplePath | Determine the path to the example network files. |
| HistogramDistanceTestSet | Encapsulate test sets for histogram distance calculations. |
| IrreversibleIsomerization | Uses the Irreversible-isomerization model to show effects of different choices for epsilon. |
| LacYComplete | The LacZ/LacY model of procaryotic gene expression proposed by [1] is simulated. |
| LacYHistogramDistances | The LacZ/LacY model of procaryotic gene expression proposed by [1] is simulated. |
| LacZ | The LacZ/LacY model of procaryotic gene expression proposed by [1] is simulated. |
| Mapk | The most basic example uses the famous enzyme kinetics equation by Michaelis and Menten S + E <-> ES -> P to introduce fundamental loading and repeated simulation of reaction networks. |
| MapkBenchmark | Use the signal transduction pathway network of the epidermal growth factor proposed by [1] to introduce the benchmark system. |
| MichaelisMentenKinetic | The most basic example uses the famous enzyme kinetics equation by Michaelis and Menten S + E <-> ES -> P to introduce fundamental loading and repeated simulation of reaction networks. |
| SBMLMathTreeTest | |
Contains examples and demonstrations of the framework.
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