Centering, scaling, and transformations: improving the biological information content of metabolomics data

Extracting relevant biological information from large data sets is a major challenge in functional genomics research. Different aspects of the data hamper their biological interpretation. For instance, 5000-fold differences in concentration for different metabolites are present in a metabolomics dat...

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Veröffentlicht in:	BMC genomics Jg. 7; H. 1; S. 142
Hauptverfasser:	van den Berg, Robert A, Hoefsloot, Huub CJ, Westerhuis, Johan A, Smilde, Age K, van der Werf, Mariët J
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England BioMed Central 08.06.2006 BMC
Schlagworte:	Automatic Data Processing - methods Cluster Analysis Databases, Genetic Fermentation - genetics Metabolism - genetics Models, Theoretical Observer Variation Oligonucleotide Array Sequence Analysis - statistics & numerical data Pseudomonas putida - genetics Reproducibility of Results Statistical Distributions
ISSN:	1471-2164, 1471-2164
Online-Zugang:	Volltext
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