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Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine.
Kim, Grace Y E; Noshad, Morteza; Stehr, Henning; Rojansky, Rebecca; Gratzinger, Dita; Oak, Jean; Brar, Rondeep; Iberri, David; Kong, Christina; Zehnder, James; Chen, Jonathan H.
Afiliação
  • Kim GYE; Department of Computer Science, Stanford, CA.
  • Noshad M; Stanford Center for Biomedical Informatics Research, Stanford, CA.
  • Stehr H; Department of Pathology, Stanford, CA.
  • Rojansky R; Department of Pathology, Stanford, CA.
  • Gratzinger D; Department of Pathology, Stanford, CA.
  • Oak J; Department of Pathology, Stanford, CA.
  • Brar R; Department of Hematology, Stanford, CA.
  • Iberri D; Department of Hematology, Stanford, CA.
  • Kong C; Department of Pathology, Stanford, CA.
  • Zehnder J; Department of Pathology, Stanford, CA.
  • Chen JH; Department of Hematology, Stanford, CA.
AMIA Annu Symp Proc ; 2021: 641-650, 2021.
Article em En | MEDLINE | ID: mdl-35308914
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Hematológicas / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Hematológicas / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2021 Tipo de documento: Article