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  3. Figure S4 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
  1. Home
  2. Publications
  3. Figure S4 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group

Figure S4 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group

Authors:
  • David Milewski
    David Milewski
  • HJHyun Jung
    Hyun Jung
  • GBG. Thomas Brown
    G. Thomas Brown
  • YLYanling Liu
    Yanling Liu
  • BSBen Somerville
    Ben Somerville
  • CLCurtis Lisle
    Curtis Lisle
  • MLMarc Ladanyi
    Marc Ladanyi
  • ERErin R. Rudzinski
    Erin R. Rudzinski
  • HCHyoyoung Choo-Wosoba
    Hyoyoung Choo-Wosoba
  • DBDonald A. Barkauskas
    Donald A. Barkauskas
  • TLTammy Lo
    Tammy Lo
  • DHDavid Hall
    David Hall

Open Access
Publisher website
Google Scholar
  • 25 November 2025
    • other
    • Published by American Association for Cancer Research (AACR)
    • DOI:10.1158/1078-0432.30705720
Abstract
Supplemental Figure S4. Sample partitioning for training a MYOD1 mutation predictive model using K-fold cross-validation.
Keywords
  • BIOMARKERS
  • PROGNOSTIC BIOMARKERS
  • COMPUTATIONAL METHODS
  • ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
  • PEDIATRIC CANCERS
  • SARCOMAS
  • SOFT-TISSUE SARCOMA
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