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Prediction of standard cell types and functional markers from textual descriptions of flow cytometry gating definitions using machine learning.

Raul Rodriguez-EstebanJosé DuartePriscila C TeixeiraFabien RichardSvetlana KoltsovaW Venus So
Published in: Cytometry. Part B, Clinical cytometry (2022)
Machine learning methods are able to consistently predict annotations associated with gating definitions from flow cytometry assays. However, a hybrid automatic and manual annotation workflow would be recommended to achieve optimal results.
Keyphrases
  • flow cytometry
  • machine learning
  • single cell
  • deep learning
  • artificial intelligence
  • cell therapy
  • rna seq
  • high throughput
  • big data
  • electronic health record
  • stem cells