Nature Communications (Jun 2017)

Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome

  • Andrew E. Teschendorff,
  • Tariq Enver

DOI
https://doi.org/10.1038/ncomms15599
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 15

Abstract

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Robust quantification of the differentiation potential of single cells is a task of great importance. Here the authors integrate single-cell RNA-Seq profiles with a cellular interaction network to compute the signaling entropy, and show that it can identify normal and cancer stem-cell phenotypes.