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Block Forests: random forests for blocks of clinical and omics covariate data.
Hornung, Roman; Wright, Marvin N.
Affiliation
  • Hornung R; Institute for Medical Information Processing, Biometry and Epidemiology, University of Munich, Marchioninistr. 15, Munich, 81377, Germany. hornung@ibe.med.uni-muenchen.de.
  • Wright MN; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, Bremen, 28359, Germany.
BMC Bioinformatics ; 20(1): 358, 2019 Jun 27.
Article in En | MEDLINE | ID: mdl-31248362
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Machine Learning Type of study: Clinical_trials / Prognostic_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Document type: Article Affiliation country: Alemania Country of publication: Reino Unido
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Machine Learning Type of study: Clinical_trials / Prognostic_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Document type: Article Affiliation country: Alemania Country of publication: Reino Unido