Nature Communications (Feb 2022)

CytofIn enables integrated analysis of public mass cytometry datasets using generalized anchors

  • Yu-Chen Lo,
  • Timothy J. Keyes,
  • Astraea Jager,
  • Jolanda Sarno,
  • Pablo Domizi,
  • Ravindra Majeti,
  • Kathleen M. Sakamoto,
  • Norman Lacayo,
  • Charles G. Mullighan,
  • Jeffrey Waters,
  • Bita Sahaf,
  • Sean C. Bendall,
  • Kara L. Davis

DOI
https://doi.org/10.1038/s41467-022-28484-5
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 15

Abstract

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Challenges in batch normalization and data integration limit the comparison of existing mass cytometry datasets. Here, the authors report CytofIn that can integrate mass cytometry datasets from the public domain and reveal cellular features associated with immune oncology by analyzing five public cancer datasets.