Analysis of metabolomic PCA data using tree diagrams

Large amounts of data from high-throughput metabolomic experiments are commonly visualized using a principal component analysis (PCA) two-dimensional scores plot. The question of the similarity or difference between multiple metabolic states then becomes a question of the degree of overlap between t...

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Veröffentlicht in:	Analytical biochemistry 2010-04, Vol.399 (1), p.58-63
Hauptverfasser:	Werth, Mark T., Halouska, Steven, Shortridge, Matthew D., Zhang, Bo, Powers, Robert
Format:	Artikel
Sprache:	eng
Schlagworte:	Bootstrap analysis Cluster Analysis Fungi - drug effects Metabolomics Metabolomics - methods Mutant Proteins - genetics Mutant Proteins - metabolism NMR Principal Component Analysis Tree diagrams Urate Oxidase - genetics Urate Oxidase - metabolism Xanthines - pharmacology
Online-Zugang:	Volltext
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