Principal components analysis as a tool for the optimization of experimental conditions.
Principal Components Analysis is used to display the variation in a data set consisting of the free amino-acid patterns in serum from dogs as a function of fasting time. Inhomogeneities found in the data set resulted in an optimization of the experimental conditions. Moreover important observations concerning sampling time and biological variability could be made.
D000596:Amino Acids / Q000097:blood*; D000818:Animals; D004285:Dogs; D005215:Fasting; D008722:Methods; D008954:Models, Biological; D013223:Statistics as Topic; D013997:Time Factors
D000596:Amino Acids