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Machine learning models predict the primary sites of head and neck squamous cell carcinoma metastases based on DNA methylation.
Leitheiser, Maximilian; Capper, David; Seegerer, Philipp; Lehmann, Annika; Schüller, Ulrich; Müller, Klaus-Robert; Klauschen, Frederick; Jurmeister, Philipp; Bockmayr, Michael.
Affiliation
  • Leitheiser M; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Institute of Pathology, Berlin, Germany.
  • Capper D; Department of Neuropathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
  • Seegerer P; German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Lehmann A; Machine-Learning Group, Department of Software Engineering and Theoretical Computer Science, Technical University of Berlin, Berlin, Germany.
  • Schüller U; Aignostics GmbH, Berlin, Germany.
  • Müller KR; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Institute of Pathology, Berlin, Germany.
  • Klauschen F; Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Jurmeister P; Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Bockmayr M; Research Institute Children's Cancer Center Hamburg, Hamburg, Germany.
J Pathol ; 256(4): 378-387, 2022 04.
Article in En | MEDLINE | ID: mdl-34878655
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: DNA Methylation / Head and Neck Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Pathol Year: 2022 Document type: Article Affiliation country: Alemania
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: DNA Methylation / Head and Neck Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Pathol Year: 2022 Document type: Article Affiliation country: Alemania