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We present a quality control method for meta-analysis of metabolomics data and apply it to data from published diabetes studies revealing serine as a putative metabolic biomarker for diabetes and for poor glycemic control.

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This page is a summary of: Ontology-Based Metabolomics Data Integration with Quality Control, Bioanalysis, June 2019, Taylor & Francis,
DOI: 10.4155/bio-2018-0303.
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