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Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens.
Wu, Zhenqin; Trevino, Alexandro E; Wu, Eric; Swanson, Kyle; Kim, Honesty J; D'Angio, H Blaize; Preska, Ryan; Charville, Gregory W; Dalerba, Piero D; Egloff, Ann Marie; Uppaluri, Ravindra; Duvvuri, Umamaheswar; Mayer, Aaron T; Zou, James.
Affiliation
  • Wu Z; Enable Medicine, Menlo Park, CA, USA.
  • Trevino AE; Department of Chemistry, Stanford University, Stanford, CA, USA.
  • Wu E; Enable Medicine, Menlo Park, CA, USA. alex@enablemedicine.com.
  • Swanson K; Enable Medicine, Menlo Park, CA, USA.
  • Kim HJ; Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
  • D'Angio HB; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Preska R; Enable Medicine, Menlo Park, CA, USA.
  • Charville GW; Enable Medicine, Menlo Park, CA, USA.
  • Dalerba PD; Enable Medicine, Menlo Park, CA, USA.
  • Egloff AM; Department of Pathology, Stanford University, Stanford, CA, USA.
  • Uppaluri R; Department of Pathology and Cell Biology, Columbia University, New York, NY, USA.
  • Duvvuri U; Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA.
  • Mayer AT; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Zou J; Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA.
Nat Biomed Eng ; 6(12): 1435-1448, 2022 12.
Article in En | MEDLINE | ID: mdl-36357512

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: Nat Biomed Eng Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: Nat Biomed Eng Year: 2022 Type: Article Affiliation country: United States