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Investigating sources of variability in metabolomic data in the EPIC study: the Principal Component Partial R-square (PC-PR2) method

Abstract:

The key goal of metabolomic studies is to identify relevant individual biomarkers or composite metabolic patterns associated with particular disease status or patho-physiological conditions. There are currently very few approaches to evaluate the variability of metabolomic data in terms of characteristics of individuals or aspects pertaining to technical processing. To address this issue, a method was developed to identify and quantify the contribution of relevant sources of variation in meta...

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Publication status:
Published

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Publisher copy:
10.1007/s11306-014-0647-9

Authors


Ferrari, P More by this author
Floegel, A More by this author
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Journal:
METABOLOMICS
Volume:
10
Issue:
6
Pages:
1074-1083
Publication date:
2014-12-05
DOI:
EISSN:
1573-3890
ISSN:
1573-3882
URN:
uuid:f9218395-9ee8-4ffd-926d-ad7b1e8d0788
Source identifiers:
459753
Local pid:
pubs:459753

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