Multivariate data analysis in biochemistry: a new integrative approach to metabolic control in brain aging.
作者信息
Giuliani A, Capuani G, Miccheli A, Aureli T, Ramacc M T, Conti F
机构信息
Department of Chemistry, University of Rome, La Sapienza, Italy.
出版信息
Cell Mol Biol. 1991;37(6):631-8.
PMID:1747898
Abstract
The principal component analysis (PCA) allows to obtain a quantitative measure of the state of metabolism as a whole. In this paper we applied this method to the study of energy metabolism during aging process and of the effect of a drug (Acetyl-1-carnitine, ALCAR) on the aging brain.
摘要
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