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The Search for Clinically Useful Biomarkers of Complex Disease: A Data Analysis Perspective

The Irish Centre for Fetal and Neonatal Translational Research (INFANT), Department of Obstetrics and Gynaecology, University College Cork, T12 YE02 Cork, Ireland
Metabolites 2019, 9(7), 126; https://doi.org/10.3390/metabo9070126
Received: 19 May 2019 / Revised: 20 June 2019 / Accepted: 28 June 2019 / Published: 2 July 2019
(This article belongs to the Special Issue Metabolomics of Complex Traits)
Unmet clinical diagnostic needs exist for many complex diseases, which it is hoped will be solved by the discovery of metabolomics biomarkers. However, as yet, no diagnostic tests based on metabolomics have yet been introduced to the clinic. This review is presented as a research perspective on how data analysis methods in metabolomics biomarker discovery may contribute to the failure of biomarker studies and suggests how such failures might be mitigated. The study design and data pretreatment steps are reviewed briefly in this context, and the actual data analysis step is examined more closely. View Full-Text
Keywords: complex disease; heterogeneous disease; biomarker discovery; data analysis; metabolomics; reproducibility; modeling; precision medicine complex disease; heterogeneous disease; biomarker discovery; data analysis; metabolomics; reproducibility; modeling; precision medicine
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Considine, E.C. The Search for Clinically Useful Biomarkers of Complex Disease: A Data Analysis Perspective. Metabolites 2019, 9, 126.

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