Journal article
A new pipeline for the normalization and pooling of metabolomics data
- Abstract:
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Pooling metabolomics data across studies is often desirable to increase the statistical power of the analysis. However, this can raise methodological challenges as several preanalytical and analytical factors could introduce differences in measured concentrations and variability between datasets. Specifically, different studies may use variable sample types (e.g., serum versus plasma) collected, treated, and stored according to different protocols, and assayed in different laboratories using ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, 3.1MB)
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- Publisher copy:
- 10.3390/metabo11090631
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Authors
Bibliographic Details
- Publisher:
- MDPI Publisher's website
- Journal:
- Metabolites Journal website
- Volume:
- 11
- Issue:
- 9
- Article number:
- 631
- Publication date:
- 2021-09-17
- Acceptance date:
- 2021-09-13
- DOI:
- EISSN:
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2218-1989
- Pmid:
-
34564446
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1199003
- Local pid:
- pubs:1199003
- Deposit date:
- 2021-11-24
Terms of use
- Copyright holder:
- Viallon et al.
- Copyright date:
- 2021
- Rights statement:
- © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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