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

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

^*Corresponding author for this work

Multiomics Data Science

Research output: Contribution to journal › Article › Research › peer-review

13 Citations (Scopus)

Original language	English
Article number	e1010357
Journal	PLoS Computational Biology
Volume	18
Issue number	8
DOIs	https://doi.org/10.1371/journal.pcbi.1010357
Publication status	Published - 11 Aug 2022

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10.1371/journal.pcbi.1010357Licence: CC BY

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title = "Ten quick tips for biomarker discovery and validation analyses using machine learning",

author = "Ramon Diaz-Uriarte and {G{\'o}mez de Lope}, Elisa and Rosalba Giugno and Holger Fr{\"o}hlich and Nazarov, {Petr V.} and Nepomuceno-Chamorro, {Isabel A.} and Armin Rauschenberger and Enrico Glaab",

note = "Funding EG acknowledges funding support by the Luxembourg National Research Fund (FNR) as part of the National Centre for Excellence in Research on Parkinson{\textquoteright}s disease (I1R-BIC-PFN-15NCER), and from the European Union{\textquoteright}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{\textquoteright}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. ",

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AU - Diaz-Uriarte, Ramon

AU - Gómez de Lope, Elisa

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AU - Nazarov, Petr V.

AU - Nepomuceno-Chamorro, Isabel A.

AU - Rauschenberger, Armin

AU - Glaab, Enrico

N1 - 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.

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

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