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Multivariate statistical analysis for evaluation and interpretation of the data allows discriminating between natural and anthropogenic origin of contaminants and pollution levels respectively, within a contaminated site [41 43].
Our objective was to illustrate the utility of a combination of analytical methods and multivariate statistical analysis for detecting a metabolic fingerprint that reflects known pathways that are altered with disease.
This entails the acquisition of the metabolic profile through a multiparametric technological platform such as mass spectrometry [21], [22] or 1H-nuclear magnetic resonance (1H-NMR) spectroscopy [23], [24], [25], [26] combined with multivariate statistical analysis for the purposes of pattern recognition and pathway analysis [20], [27].
In addition, we applied multivariate statistical analysis for building a stable predictive model.
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9 This technique allows for multivariate statistical analysis of biological structures; in other words, it simultaneously considers several characteristics of the body structure complex.
Multivariate statistical analysis of these collections is used for microarray design.
Sander, B., Golas, M.M. & Stark, H. Automatic CTF correction for single particles based upon multivariate statistical analysis of individual power spectra.
Lliboutry, L. Multivariate statistical analysis of glacier annual balances.
A comprehensive summary of research work related to applications of NMR spectroscopy in combination with multivariate statistical analysis techniques for the analysis, quality control, and authentication of wine is presented.
The chemical analysis and multivariate statistical analysis were conducted for classification of RV and WV.
Multivariate statistical analysis is considered for the dissimilarity δ to describe the relationship between the two series.
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