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Fuzzy Stochastic Petri Nets for Modeling Biological Systems with Uncertain Kinetic Parameters
Stochastic Petri nets (SPNs) have been widely used to model randomness which is an inherent feature of biological systems. However, for many biological systems, some kinetic parameters may be uncertain due to incomplete, vague or missing kinetic data (often called fuzzy uncertainty), or naturally va...
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| Gepubliceerd in: | PLoS One |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2016
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4766190/ https://ncbi.nlm.nih.gov/pubmed/26910830 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0149674 |
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