Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome
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.
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2017-06-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/ncomms15599 |
| Summary: | 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. |
|---|---|
| ISSN: | 2041-1723 |