Communications Biology (Jan 2023)

Machine learning identifies T cell receptor repertoire signatures associated with COVID-19 severity

  • Jonathan J. Park,
  • Kyoung A V. Lee,
  • Stanley Z. Lam,
  • Katherine S. Moon,
  • Zhenhao Fang,
  • Sidi Chen

DOI
https://doi.org/10.1038/s42003-023-04447-4
Journal volume & issue
Vol. 6, no. 1
pp. 1 – 13

Abstract

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Signatures associated with COVID-19 disease severity are studied, primarily using machine learning models for classification on the basis of TCR repertoire analysis and combining such data/analysis with single cell transcriptomic data.