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Deep learning and transfer learning identify breast cancer survival subtypes from single-cell imaging data.

Shashank YadavShu ZhouBing HeYuheng DuLana X Garmire
Published in: Communications medicine (2023)
This work provides an approach to bridge single-cell level information toward population-level survival prediction.
Keyphrases
  • single cell
  • rna seq
  • deep learning
  • high throughput
  • free survival
  • electronic health record
  • machine learning
  • big data
  • artificial intelligence
  • healthcare
  • health information
  • young adults
  • fluorescence imaging