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Ten quick tips for biomarker discovery and validation analyses using machine learning.
Diaz-Uriarte, Ramon; Gómez de Lope, Elisa; Giugno, Rosalba; Fröhlich, Holger; Nazarov, Petr V; Nepomuceno-Chamorro, Isabel A; Rauschenberger, Armin; Glaab, Enrico.
Affiliation
  • Diaz-Uriarte R; Department of Biochemistry, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigaciones Biomédicas 'Alberto Sols' (UAM-CSIC), Madrid, Spain.
  • Gómez de Lope E; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Luxembourg.
  • Giugno R; Department of Computer Science, University of Verona, Verona, Italy.
  • Fröhlich H; Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, Germany.
  • Nazarov PV; Bonn-Aachen International Centre for IT (b-it), Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
  • Nepomuceno-Chamorro IA; Department of Cancer Research, Luxembourg Institute of Health, Strassen, Luxembourg.
  • Rauschenberger A; Dpto. de Lenguajes y Sistemas Informáticos, University of Seville, Seville, Spain.
  • Glaab E; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Luxembourg.
PLoS Comput Biol ; 18(8): e1010357, 2022 08.
Article in En | MEDLINE | ID: mdl-35951526

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomedical Research / Machine Learning Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: España Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomedical Research / Machine Learning Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: España Country of publication: Estados Unidos