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State-of-the art data normalization methods improve NMR-based metabolomic analysis

Kohl, Stefanie M., Klein, Matthias S., Hochrein, Jochen, Oefner, Peter J., Spang, Rainer and Gronwald, Wolfram (2012) State-of-the art data normalization methods improve NMR-based metabolomic analysis. Metabolomics 8 (Suppl), pp. 146-160.

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Abstract

Extracting biomedical information from large metabolomic datasets by multivariate data analysis is of considerable complexity. Common challenges include among others screening for differentially produced metabolites, estimation of fold changes, and sample classification. Prior to these analysis steps, it is important to minimize contributions from unwanted biases and experimental variance. This ...

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Item type:Article
Date:June 2012
Institutions:Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Identification Number:
ValueType
22593726PubMed ID
10.1007/s11306-011-0350-zDOI
Dewey Decimal Classification:500 Science > 500 Natural sciences & mathematics
500 Science > 570 Life sciences
600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:30587
Owner only: item control page
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