Metabolomic differentiation of deer antlers of various origins by 1H NMR spectrometry and principal components analysis

2006 ◽  
Vol 41 (3) ◽  
pp. 1047-1050 ◽  
Author(s):  
Hyung-Kyoon Choi ◽  
Kyoung-Hee Kim ◽  
Kyoung Heon Kim ◽  
Young-Suk Kim ◽  
Min-Won Lee ◽  
...  
Keyword(s):  
Principal Components Analysis ◽  
1H Nmr ◽  
Principal Components ◽  
Nmr Spectrometry ◽  
Components Analysis

Application of principal components analysis to 1H-NMR data obtained from propolis samples of different geographical origin

2006 ◽  
Vol 17 (5) ◽  
pp. 323-331 ◽  
Author(s):  
D. G. Watson ◽  
E. Peyfoon ◽  
L. Zheng ◽  
D. Lu ◽  
V. Seidel ◽  
...  
Keyword(s):  
Principal Components Analysis ◽  
1H Nmr ◽  
Principal Components ◽  
Geographical Origin ◽  
Nmr Data ◽  
Components Analysis

Diagnoses Generated by Numerical Taxonomic Methods Applied to Standard Blood Variables

1980 ◽  
Vol 19 (04) ◽  
pp. 205-209
Author(s):  
L. A. Abbott ◽  
J. B. Mitton
Keyword(s):  
Liver Cirrhosis ◽  
Renal Disease ◽  
Principal Components Analysis ◽  
Discriminant Function ◽  
Principal Components ◽  
Discriminant Function Analysis ◽  
Chronic Renal Disease ◽  
Function Analysis ◽  
Infectious Hepatitis ◽  
Components Analysis

Data taken from the blood of 262 patients diagnosed for malabsorption, elective cholecystectomy, acute cholecystitis, infectious hepatitis, liver cirrhosis, or chronic renal disease were analyzed with three numerical taxonomy (NT) methods : cluster analysis, principal components analysis, and discriminant function analysis. Principal components analysis revealed discrete clusters of patients suffering from chronic renal disease, liver cirrhosis, and infectious hepatitis, which could be displayed by NT clustering as well as by plotting, but other disease groups were poorly defined. Sharper resolution of the same disease groups was attained by discriminant function analysis.

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