Nature Communications (Jun 2020)

An entropy-based metric for assessing the purity of single cell populations

  • Baolin Liu,
  • Chenwei Li,
  • Ziyi Li,
  • Dongfang Wang,
  • Xianwen Ren,
  • Zemin Zhang

DOI
https://doi.org/10.1038/s41467-020-16904-3
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 13

Abstract

Read online

Single cell RNA-seq is a powerful method to assign cell identity, but the purity of cell clusters arising from this data is not clear. Here the authors present an entropy-based statistic called ROGUE to quantify the purity of cell clusters, and identify subtypes within clusters.