Statistical Analysis of NMR Metabolic Fingerprints: Established Methods and Recent Advances

URN to cite this document:: urn:nbn:de:bvb:355-epub-400655
DOI to cite this document:: 10.5283/epub.40065

Zacharias, Helena

; Altenbuchinger, Michael ; Gronwald, Wolfram

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Date of publication of this fulltext: 10 Apr 2019 06:29

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Abstract

In this review, we summarize established and recent bioinformatic and statistical methods for the analysis of NMR-based metabolomics. Data analysis of NMR metabolic fingerprints exhibits several challenges, including unwanted biases, high dimensionality, and typically low sample numbers. Common analysis tasks comprise the identification of differential metabolites and the classification of ...