The search for clinically useful biomarkers of complex disease: A data analysis perspective

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dc.contributor.author Considine, Elizabeth C.
dc.date.accessioned 2019-11-04T11:44:42Z
dc.date.available 2019-11-04T11:44:42Z
dc.date.issued 2019-07-02
dc.identifier.citation Considine, E.C., 2019. The Search for Clinically Useful Biomarkers of Complex Disease: A Data Analysis Perspective. Metabolites, 9(7), 126. (14 pp.). DOI:10.3390/metabo9070126 en
dc.identifier.volume 9 en
dc.identifier.issued 7 en
dc.identifier.startpage 1 en
dc.identifier.endpage 14 en
dc.identifier.issn 2218-1989
dc.identifier.uri http://hdl.handle.net/10468/8950
dc.identifier.doi 10.3390/metabo9070126 en
dc.description.abstract 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. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher MDPI en
dc.relation.uri https://www.mdpi.com/2218-1989/9/7/126
dc.rights © 2019 by the author. 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 (http://creativecommons.org/licenses/by/4.0/). en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.subject Complex disease en
dc.subject Heterogeneous disease en
dc.subject Biomarker discovery en
dc.subject Data analysis en
dc.subject Metabolomics en
dc.subject Reproducibility en
dc.subject Modeling en
dc.subject Precision medicine en
dc.title The search for clinically useful biomarkers of complex disease: A data analysis perspective en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Elizabeth Considine, Department of Obstetrics and Gynaecology, University College Cork, Cork, Ireland. +353-21-490-3000 Email: l.considine@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Metabolites en
dc.internal.IRISemailaddress l.considine@ucc.ie en
dc.identifier.articleid 126 en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2272/IE/Irish Centre for Fetal and Neonatal Translational Research (INFANT)/ en
dc.identifier.eissn 2218-1989


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© 2019 by the author. 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 (http://creativecommons.org/licenses/by/4.0/). Except where otherwise noted, this item's license is described as © 2019 by the author. 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 (http://creativecommons.org/licenses/by/4.0/).
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