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Initial state perturbations as a validation method for data-driven fuzzy models of cellular networks

BACKGROUND: Data-driven methods that automatically learn relations between attributes from given data are a popular tool for building mathematical models in computational biology. Since measurements are prone to errors, approaches dealing with uncertain data are especially suitable for this task. Fu...

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Veröffentlicht in:BMC Bioinformatics
Hauptverfasser: Magdevska, Lidija, Mraz, Miha, Zimic, Nikolaj, Moškon, Miha
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2018
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6150993/
https://ncbi.nlm.nih.gov/pubmed/30241464
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2366-0
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