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A new pipeline for the normalization and pooling of metabolomics data

Abstract:

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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Publisher copy:
10.3390/metabo11090631

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Role:
Author
ORCID:
0000-0002-9799-4421
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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:
2218-1989
Pmid:
34564446
Language:
English
Keywords:
Pubs id:
1199003
Local pid:
pubs:1199003
Deposit date:
2021-11-24

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