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

Zacharias, Helena , Altenbuchinger, Michael and Gronwald, Wolfram (2018) Statistical Analysis of NMR Metabolic Fingerprints: Established Methods and Recent Advances. Metabolites 8 (3).

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

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Other URL: https://www.mdpi.com/2218-1989/8/3/47


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 ...

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Item type:Article
Date:28 August 2018
Institutions:Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Funktionelle Genomik (Prof. Oefner)
Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Identification Number:
ValueType
30154338PubMed ID
10.3390/metabo8030047DOI
Keywords:NMR; data normalization; data scaling; metabolic fingerprinting; statistical data analysis; zero-sum
Dewey Decimal Classification:600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:40065
Owner only: item control page

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