Ten quick tips for biomarker discovery and validation analyses using machine learning

Ramon Diaz-Uriarte; Elisa Gómez de Lope; Rosalba Giugno; Holger Fröhlich; Petr V Nazarov; Isabel A Nepomuceno-Chamorro; Armin Rauschenberger; Enrico Glaab

doi:10.1371/journal.pcbi.1010357

Ten quick tips for biomarker discovery and validation analyses using machine learning

PLoS Comput Biol. 2022 Aug 11;18(8):e1010357. doi: 10.1371/journal.pcbi.1010357. eCollection 2022 Aug.

Authors

Ramon Diaz-Uriarte¹, Elisa Gómez de Lope², Rosalba Giugno³, Holger Fröhlich^{4

5}, Petr V Nazarov⁶, Isabel A Nepomuceno-Chamorro⁷, Armin Rauschenberger², Enrico Glaab²

Affiliations

¹ Department of Biochemistry, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigaciones Biomédicas 'Alberto Sols' (UAM-CSIC), Madrid, Spain.
² Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Luxembourg.
³ Department of Computer Science, University of Verona, Verona, Italy.
⁴ Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, Germany.
⁵ Bonn-Aachen International Centre for IT (b-it), Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
⁶ Department of Cancer Research, Luxembourg Institute of Health, Strassen, Luxembourg.
⁷ Dpto. de Lenguajes y Sistemas Informáticos, University of Seville, Seville, Spain.

No abstract available

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Biomarkers
Biomedical Research*
Computational Biology
Machine Learning*

Substances

Biomarkers

Grants and funding

EG acknowledges funding support by the Luxembourg National Research Fund (FNR) as part of the National Centre for Excellence in Research on Parkinson’s disease (I1R-BIC-PFN-15NCER), and from the European Union’s Horizon 2020 research and innovation programme as part of the projects DIGIPD (grant no. ERAPERMED 2020-314) and PERMIT (grant no. 874 825). RG was supported from the European Union’s Horizon 2020 research and innovation programme under grant agreement 814978 and JPcofuND2 Personalised Medicine for Neurodegenerative Diseases project JPND2019-466-037. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.