Additional file 2 of High-throughput quantitative histology in systemic sclerosis skin disease using computer vision

  • Chase Correia (Northwestern University) (Creator)
  • Seamus Mawe (Creator)
  • Shane Lofgren (Creator)
  • Roberta G. Marangoni (Northwestern University) (Creator)
  • Jungwha Lee (Contributor)
  • Rana Saber (Creator)
  • K. A. Aren (Creator)
  • Michelle Cheng (Creator)
  • Shannon Teaw (Creator)
  • Aileen Hoffmann (Creator)
  • Isaac Goldberg (Creator)
  • S. E. Cowper (Creator)
  • Purvesh Khatri (Contributor)
  • Monique Hinchcliff (Institute for Public Health and Medicine, Yale University, Northwestern University) (Creator)
  • J. Matthew Mahoney (Creator)

Dataset

Description

Additional file 2 Figure S1. Correlation between the Fibrosis Score and the SSc Four-Gene Biomarker. The correlation between the Deep Neural Network-derived Fibrosis Score and three of four genes (that passed filter criteria) from the SSc Four Gene Biomarker are displayed.
Date made available2020
Publisherfigshare

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