Assessing Inequality in Transcriptomic Data

Cell Syst. 2018 Feb 28;6(2):149-150. doi: 10.1016/j.cels.2018.02.007.

Abstract

Two studies in this issue of Cell Systems use the Gini index from economics to benchmark and quantify gene expression heterogeneity in single-cell or bulk RNA-seq datasets.

Publication types

  • Comment

MeSH terms

  • Genes, Essential*
  • Humans
  • RNA
  • Sequence Analysis, RNA
  • Socioeconomic Factors
  • Transcriptome*

Substances

  • RNA