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A Scalable Computational Framework for Establishing Long-Term Behavior of Stochastic Reaction Networks
Reaction networks are systems in which the populations of a finite number of species evolve through predefined interactions. Such networks are found as modeling tools in many biological disciplines such as biochemistry, ecology, epidemiology, immunology, systems biology and synthetic biology. It is...
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| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Public Library of Science
2014
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4072526/ https://ncbi.nlm.nih.gov/pubmed/24968191 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1003669 |
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