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Modeling biological systems with uncertain kinetic data using fuzzy continuous Petri nets
BACKGROUND: Uncertainties exist in many biological systems, which can be classified as random uncertainties and fuzzy uncertainties. The former can usually be dealt with using stochastic methods, while the latter have to be handled with such approaches as fuzzy methods. RESULTS: In this paper, we fo...
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| Gepubliceerd in: | BMC Syst Biol |
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| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5998910/ https://ncbi.nlm.nih.gov/pubmed/29745860 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-018-0568-8 |
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