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