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Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states.
Nyman, Jackson; Denize, Thomas; Bakouny, Ziad; Labaki, Chris; Titchen, Breanna M; Bi, Kevin; Hari, Surya Narayanan; Rosenthal, Jacob; Mehta, Nicita; Jiang, Bowen; Sharma, Bijaya; Felt, Kristen; Umeton, Renato; Braun, David A; Rodig, Scott; Choueiri, Toni K; Signoretti, Sabina; Van Allen, Eliezer M.
Afiliación
  • Nyman J; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Denize T; Harvard Graduate Program in Systems Biology, Cambridge, MA, USA.
  • Bakouny Z; Broad Institute, Cambridge, MA, USA.
  • Labaki C; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
  • Titchen BM; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Bi K; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Hari SN; Harvard Medical School, Boston, MA, USA.
  • Rosenthal J; Broad Institute, Cambridge, MA, USA.
  • Mehta N; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Jiang B; Broad Institute, Cambridge, MA, USA.
  • Sharma B; Harvard Medical School, Boston, MA, USA.
  • Felt K; Harvard Graduate Program in Biological and Biomedical Sciences, Boston, MA, USA.
  • Umeton R; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Braun DA; Broad Institute, Cambridge, MA, USA.
  • Rodig S; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Choueiri TK; Broad Institute, Cambridge, MA, USA.
  • Signoretti S; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Van Allen EM; Broad Institute, Cambridge, MA, USA.
bioRxiv ; 2023 Feb 20.
Article en En | MEDLINE | ID: mdl-36712053
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 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: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos