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See:
Description
Class Summary | |
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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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