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.
Saved in:
| Main Authors: | , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2017
|
| Subjects: | |
| Online Access: | https://doaj.org/article/2b700eada7d045eeb538e7f30e6e4773 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| 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. |
|---|