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Predicting tumor response to drugs based on gene-expression biomarkers of sensitivity learned from cancer cell lines.
Li, Yuanyuan; Umbach, David M; Krahn, Juno M; Shats, Igor; Li, Xiaoling; Li, Leping.
Afiliação
  • Li Y; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, 111 T.W. Alexander Dr., Research Triangle Park, MD A3-03, Durham, NC, 27709, USA.
  • Umbach DM; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, 111 T.W. Alexander Dr., Research Triangle Park, MD A3-03, Durham, NC, 27709, USA.
  • Krahn JM; Genome Integrity & Structural Biology Laboratory, Research Triangle Park, Durham, NC, 27709, USA.
  • Shats I; Signal Transduction Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, 27709, USA.
  • Li X; Signal Transduction Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, 27709, USA.
  • Li L; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, 111 T.W. Alexander Dr., Research Triangle Park, MD A3-03, Durham, NC, 27709, USA. li3@niehs.nih.gov.
BMC Genomics ; 22(1): 272, 2021 Apr 15.
Article em En | MEDLINE | ID: mdl-33858332
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Preparações Farmacêuticas Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Preparações Farmacêuticas Idioma: En Ano de publicação: 2021 Tipo de documento: Article