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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6150993/ https://www.ncbi.nlm.nih.gov/pubmed/30241464 http://dx.doi.org/10.1186/s12859-018-2366-0 |