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Dynamic elementary mode modelling of non-steady state flux data

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Dynamic elementary mode modelling of non-steady state flux data

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Folch-Fortuny, A.; Teusink, B.; Hoefsloot, HC.; Smilde, AK.; Ferrer, A. (2018). Dynamic elementary mode modelling of non-steady state flux data. BMC Systems Biology. 12:1-15. https://doi.org/10.1186/s12918-018-0589-3

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Título: Dynamic elementary mode modelling of non-steady state flux data
Autor: Folch-Fortuny, Abel Teusink, Bas Hoefsloot, Huub C.J. Smilde, Age K. Ferrer, Alberto
Entidad UPV: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Fecha difusión:
Resumen:
[EN] A novel framework is proposed to analyse metabolic fluxes in non-steady state conditions, based on the new concept of dynamic elementary mode (dynEM): an elementary mode activated partially depending on the time point ...[+]
Palabras clave: Metabolic network , Elementary mode , Dynamic modelling , Principal component analysis , Principal elementary mode analysis , Partial least squares regression discriminant analysis , N-way,Cross validation
Derechos de uso: Reconocimiento (by)
Fuente:
BMC Systems Biology. (issn: 1752-0509 )
DOI: 10.1186/s12918-018-0589-3
Editorial:
Springer (Biomed Central Ltd.)
Versión del editor: http://doi.org/10.1186/s12918-018-0589-3
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//DPI2014-55276-C5-1-R/ES/BIOLOGIA SINTETICA PARA LA MEJORA EN BIOPRODUCCION: DISEÑO, OPTIMIZACION, MONITORIZACION Y CONTROL/
Agradecimientos:
This research work was partially supported by the Spanish Ministry of Economy and Competitiveness under the project DPI2014-55276-C5-1R.
Tipo: Artículo

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