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Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables.
Brummer, Alexander B; Xella, Agata; Woodall, Ryan; Adhikarla, Vikram; Cho, Heyrim; Gutova, Margarita; Brown, Christine E; Rockne, Russell C.
Afiliação
  • Brummer AB; Division of Mathematical Oncology, Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, United States.
  • Xella A; Department of Physics and Astronomy, College of Charleston, Charleston, SC, United States.
  • Woodall R; Department of Hemtaology and Hematopoietic Cell Translation and Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, United States.
  • Adhikarla V; Division of Mathematical Oncology, Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, United States.
  • Cho H; Division of Mathematical Oncology, Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, United States.
  • Gutova M; Department of Mathematics, University of California, Riverside, Riverside, CA, United States.
  • Brown CE; Department of Stem Cell Biology and Regenerative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, United States.
  • Rockne RC; Department of Hemtaology and Hematopoietic Cell Translation and Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, United States.
Front Immunol ; 14: 1115536, 2023.
Article em En | MEDLINE | ID: mdl-37256133
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Linfócitos T / Receptores de Antígenos Quiméricos Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Linfócitos T / Receptores de Antígenos Quiméricos Idioma: En Ano de publicação: 2023 Tipo de documento: Article