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Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data.
Chen, Junyi; Wang, Xiaoying; Ma, Anjun; Wang, Qi-En; Liu, Bingqiang; Li, Lang; Xu, Dong; Ma, Qin.
Afiliação
  • Chen J; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.
  • Wang X; Department of Mathematics, Shandong University, Shandong, 250100, China.
  • Ma A; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA. anjun.ma@osumc.edu.
  • Wang QE; Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA. anjun.ma@osumc.edu.
  • Liu B; Department of Radiation Oncology, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA.
  • Li L; Department of Mathematics, Shandong University, Shandong, 250100, China.
  • Xu D; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.
  • Ma Q; Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.
Nat Commun ; 13(1): 6494, 2022 10 30.
Article em En | MEDLINE | ID: mdl-36310235
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias / Antineoplásicos Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias / Antineoplásicos Idioma: En Ano de publicação: 2022 Tipo de documento: Article