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Evaluation of regression models in metabolic physiology: predicting fluxes from isotopic data without knowledge of the pathway

This study explores the ability of regression models, with no knowledge of the underlying physiology, to estimate physiological parameters relevant for metabolism and endocrinology. Four regression models were compared: multiple linear regression (MLR), principal component regression (PCR), partial...

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Detalles Bibliográficos
Autores principales: Antoniewicz, Maciek R., Stephanopoulos, Gregory, Kelleher, Joanne K.
Formato: Texto
Lenguaje:English
Publicado: Kluwer Academic Publishers-Plenum Publishers 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1622920/
https://www.ncbi.nlm.nih.gov/pubmed/17066125
http://dx.doi.org/10.1007/s11306-006-0018-2