A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
- PCAWG Tumor Subtypes and Clinical Translation Working Group
- , PCAWG Consortium
- Ontario Institute for Cancer Research
- University of Toronto
- Vector Institute
- Broad Institute
- Harvard University
- Massachusetts General Hospital
- Icahn School of Medicine at Mount Sinai
- University of Zagreb
- Hartwig Medical Foundation
- Utrecht University
- Centro Nacional de Investigaciones Oncológicas
- University of Glasgow
- University of New South Wales
- NHS Greater Glasgow and Clyde
- University of California at Los Angeles
- Wellcome Sanger Institute
- University of Cambridge
- Cambridge University Hospitals NHS Foundation Trust
- Cornell University
- Dana-Farber Cancer Institute
- University of Melbourne
- University of North Carolina at Chapel Hill
- University of Edinburgh
- National Cancer Center Japan
- University of Texas MD Anderson Cancer Center
- Oregon Health and Science University
- Sage Bionetworks
- University of California at San Francisco
- University of Bern
- The University of Tokyo
- Kiel University
- Ulm University
- Barcelona Institute of Science and Technology (BIST)
- Pompeu Fabra University
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