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...

Descripción completa

Detalles Bibliográficos
Autores principales: Magdevska, Lidija, Mraz, Miha, Zimic, Nikolaj, Moškon, Miha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology Article
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

Internet

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

Ejemplares similares