- 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...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1007/s11306-014-0647-9
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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
- Copyright date:
- 2014
Journal article
Investigating sources of variability in metabolomic data in the EPIC study: the Principal Component Partial R-square (PC-PR2) method
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