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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...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Kluwer Academic Publishers-Plenum Publishers
2006
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| 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 |