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

Authors :
Andrew E. Teschendorff
Tariq Enver
Source :
Nature Communications, Vol 8, Iss 1, Pp 1-15 (2017)
Publication Year :
2017
Publisher :
Nature Portfolio, 2017.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.2b700eada7d045eeb538e7f30e6e4773
Document Type :
article
Full Text :
https://doi.org/10.1038/ncomms15599