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A Random Forest Genomic Classifier for Tumor Agnostic Prediction of Response to Anti-PD1 Immunotherapy.
Bigelow, Emma; Saria, Suchi; Piening, Brian; Curti, Brendan; Dowdell, Alexa; Weerasinghe, Roshanthi; Bifulco, Carlo; Urba, Walter; Finkelstein, Noam; Fertig, Elana J; Baras, Alex; Zaidi, Neeha; Jaffee, Elizabeth; Yarchoan, Mark.
Afiliación
  • Bigelow E; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins, Baltimore, MD, USA.
  • Saria S; Departments of Computer Science and Statistics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Piening B; Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
  • Curti B; Bayesian Health, New York, NY, USA.
  • Dowdell A; Earle A. Chiles Research Institute, Providence Portland Medical Center, Portland, OR, USA.
  • Weerasinghe R; Earle A. Chiles Research Institute, Providence Portland Medical Center, Portland, OR, USA.
  • Bifulco C; Earle A. Chiles Research Institute, Providence Portland Medical Center, Portland, OR, USA.
  • Urba W; Health Research Accelerator, Providence Health, Portland, OR, USA.
  • Finkelstein N; Earle A. Chiles Research Institute, Providence Portland Medical Center, Portland, OR, USA.
  • Fertig EJ; Earle A. Chiles Research Institute, Providence Portland Medical Center, Portland, OR, USA.
  • Baras A; Departments of Computer Science and Statistics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Zaidi N; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins, Baltimore, MD, USA.
  • Jaffee E; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins, Baltimore, MD, USA.
  • Yarchoan M; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins, Baltimore, MD, USA.
Cancer Inform ; 21: 11769351221136081, 2022.
Article en En | MEDLINE | ID: mdl-36439024
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancer Inform Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancer Inform Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos