Normalizing Untargeted Periconceptional Urinary Metabolomics Data: A Comparison of Approaches
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Title
Normalizing Untargeted Periconceptional Urinary Metabolomics Data: A Comparison of Approaches
Authors
Keywords
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Journal
Metabolites
Volume 9, Issue 10, Pages 198
Publisher
MDPI AG
Online
2019-09-23
DOI
10.3390/metabo9100198
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- Recent and potential developments in the analysis of urine: A review
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- Correction of mass calibration gaps in liquid chromatography–mass spectrometry metabolomics data
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