Seeing the primary tumor because of all the trees: Cancer type prediction on low-dimensional data.

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Bibliographic Details
Title: Seeing the primary tumor because of all the trees: Cancer type prediction on low-dimensional data.
Authors: Gehrmann J; Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Soenarto DJ; Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Hidayat K; Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Beyer M; Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Quakulinski L; Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Alkarkoukly S; Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Medical Data Integration Center (MeDIC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Berressem S; Department of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Aachen, Germany., Gundert A; Department of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Aachen, Germany., Butler M; Department of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Aachen, Germany., Grönke A; Medical Data Integration Center (MeDIC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Lennartz S; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Persigehl T; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Zander T; Department of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Aachen, Germany., Beyan O; Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Medical Data Integration Center (MeDIC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Department of Data Science and Artificial Intelligence, Fraunhofer FIT, Sankt Augustin, Germany.
Source: Frontiers in medicine [Front Med (Lausanne)] 2024 Aug 27; Vol. 11, pp. 1396459. Date of Electronic Publication: 2024 Aug 27 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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