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Adaptive digital tissue deconvolution.
Görtler, Franziska; Mensching-Buhr, Malte; Skaar, Ørjan; Schrod, Stefan; Sterr, Thomas; Schäfer, Andreas; Beißbarth, Tim; Joshi, Anagha; Zacharias, Helena U; Grellscheid, Sushma Nagaraja; Altenbuchinger, Michael.
Afiliação
  • Görtler F; Computational Biology Unit, Department of Biological Sciences, University of Bergen, N-5008 Bergen, Norway.
  • Mensching-Buhr M; Department of Oncology and Medical Physics, Haukeland University Hospital, 5021 Bergen, Norway.
  • Skaar Ø; Department of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.
  • Schrod S; Department of Informatics, Computational Biology Unit, University of Bergen, N-5008 Bergen, Norway.
  • Sterr T; Department of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.
  • Schäfer A; Institute of Theoretical Physics, University of Regensburg, 93053 Regensburg, Germany.
  • Beißbarth T; Institute of Theoretical Physics, University of Regensburg, 93053 Regensburg, Germany.
  • Joshi A; Department of Medical Bioinformatics, University Medical Center Göttingen, 37075 Göttingen, Germany.
  • Zacharias HU; Department of Clinical Science, Computational Biology Unit, University of Bergen, N-5008 Bergen, Norway.
  • Grellscheid SN; Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover Medical School, 30625 Hannover, Germany.
  • Altenbuchinger M; Computational Biology Unit, Department of Biological Sciences, University of Bergen, N-5008 Bergen, Norway.
Bioinformatics ; 40(Supplement_1): i100-i109, 2024 Jun 28.
Article em En | MEDLINE | ID: mdl-38940181
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina Limite: Female / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina Limite: Female / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article