ISSN:
1741-0444
Keywords:
Linear models
;
Metabolic systems
Source:
Springer Online Journal Archives 1860-2000
Topics:
Biology
,
Chemistry and Pharmacology
,
Medicine
Notes:
Abstract In the paper some quantitative criteria for evaluating alternative linear model structures are presented and applied to two metabolic systems. Linear time-invariant structured models and input/output descriptions are proposed for the two metabolic processes considered, bilirubin and riphamicin kinetics, and maximum likelihood parameter estimates are obtained from input/output test data. The considered criteria include model plausibility and quantitative measures, e.g. the F-test, Akaike information criterion and the inverse of the information matrix, which are based on the results of model identification from input/output data. The combined use of the Akaike criterion and of the inverse of the information matrix proves to be, in conjunction with model plausibility, a very reliable tool in the metabolic model structure determination.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF02442404
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