Nature Communications (Apr 2020)

SciBet as a portable and fast single cell type identifier

  • Chenwei Li,
  • Baolin Liu,
  • Boxi Kang,
  • Zedao Liu,
  • Yedan Liu,
  • Changya Chen,
  • Xianwen Ren,
  • Zemin Zhang

DOI
https://doi.org/10.1038/s41467-020-15523-2
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 8

Abstract

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The increasing size of single cell sequencing data sets calls for scalable cell annotation methods. Here, the authors introduce SciBet, which uses a multinomial distribution model and maximum likelihood estimation for fast and accurate single cell identification.