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Anomaly detection in mixed high-dimensional molecular data.
Buck, Lena; Schmidt, Tobias; Feist, Maren; Schwarzfischer, Philipp; Kube, Dieter; Oefner, Peter J; Zacharias, Helena U; Altenbuchinger, Michael; Dettmer, Katja; Gronwald, Wolfram; Spang, Rainer.
Afiliação
  • Buck L; Department of Statistical Bioinformatics, University of Regensburg, 93040 Regensburg, Germany.
  • Schmidt T; Department of Statistical Bioinformatics, University of Regensburg, 93040 Regensburg, Germany.
  • Feist M; Department of Hematology and Medical Oncology, University Medicine Gottingen, 37075 Gottingen, Germany.
  • Schwarzfischer P; Institute of Functional Genomics, University of Regensburg, 93040 Regensburg, Germany.
  • Kube D; Department of Hematology and Medical Oncology, University Medicine Gottingen, 37075 Gottingen, Germany.
  • Oefner PJ; Institute of Functional Genomics, University of Regensburg, 93040 Regensburg, Germany.
  • Zacharias HU; Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover Medical School, 30625 Hannover, Germany.
  • Altenbuchinger M; Department of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.
  • Dettmer K; Institute of Functional Genomics, University of Regensburg, 93040 Regensburg, Germany.
  • Gronwald W; Institute of Functional Genomics, University of Regensburg, 93040 Regensburg, Germany.
  • Spang R; Department of Statistical Bioinformatics, University of Regensburg, 93040 Regensburg, Germany.
Bioinformatics ; 39(8)2023 08 01.
Article em En | MEDLINE | ID: mdl-37584673
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Software Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Software Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article