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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Detalles Bibliográficos
Autores principales: Liu, Fei, Chen, Siyuan, Heiner, Monika, Song, Hengjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998910/
https://www.ncbi.nlm.nih.gov/pubmed/29745860
http://dx.doi.org/10.1186/s12918-018-0568-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998910/
https://www.ncbi.nlm.nih.gov/pubmed/29745860
http://dx.doi.org/10.1186/s12918-018-0568-8

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