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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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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | 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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