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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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dc.contributor.author Folch-Fortuny, Abel es_ES
dc.contributor.author Teusink, Bas es_ES
dc.contributor.author Hoefsloot, Huub C.J. es_ES
dc.contributor.author Smilde, Age K. es_ES
dc.contributor.author Ferrer, Alberto es_ES
dc.date.accessioned 2019-06-21T20:02:50Z
dc.date.available 2019-06-21T20:02:50Z
dc.date.issued 2018 es_ES
dc.identifier.issn 1752-0509 es_ES
dc.identifier.uri http://hdl.handle.net/10251/122511
dc.description.abstract [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 of the experiment. es_ES
dc.description.sponsorship This research work was partially supported by the Spanish Ministry of Economy and Competitiveness under the project DPI2014-55276-C5-1R. es_ES
dc.language Inglés es_ES
dc.publisher Springer (Biomed Central Ltd.) es_ES
dc.relation.ispartof BMC Systems Biology es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Metabolic network es_ES
dc.subject Elementary mode es_ES
dc.subject Dynamic modelling es_ES
dc.subject Principal component analysis es_ES
dc.subject Principal elementary mode analysis es_ES
dc.subject Partial least squares regression discriminant analysis es_ES
dc.subject N-way,Cross validation es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title Dynamic elementary mode modelling of non-steady state flux data es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1186/s12918-018-0589-3 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2014-55276-C5-1-R/ES/BIOLOGIA SINTETICA PARA LA MEJORA EN BIOPRODUCCION: DISEÑO, OPTIMIZACION, MONITORIZACION Y CONTROL/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1186/s12918-018-0589-3 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.identifier.pmid 29914483
dc.identifier.pmcid PMC6006576
dc.relation.pasarela S\377830 es_ES
dc.contributor.funder Ministerio de Economía y Empresa es_ES
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