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Integrating single cell sequencing with a spatial quantitative systems pharmacology model spQSP for personalized prediction of triple-negative breast cancer immunotherapy response.
Zhang, Shuming; Gong, Chang; Ruiz-Martinez, Alvaro; Wang, Hanwen; Davis-Marcisak, Emily; Deshpande, Atul; Popel, Aleksander S; Fertig, Elana J.
Afiliação
  • Zhang S; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Gong C; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Ruiz-Martinez A; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Wang H; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Davis-Marcisak E; Department of Oncology and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Deshpande A; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Popel AS; Department of Oncology and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Fertig EJ; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Immunoinformatics (Amst) ; 1-22021 Oct.
Article em En | MEDLINE | ID: mdl-34708216
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Immunoinformatics (Amst) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Immunoinformatics (Amst) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos