SCENIC: single-cell regulatory network inference and clustering
- PMID: 28991892
- PMCID: PMC5937676
- DOI: 10.1038/nmeth.4463
SCENIC: single-cell regulatory network inference and clustering
Abstract
We present SCENIC, a computational method for simultaneous gene regulatory network reconstruction and cell-state identification from single-cell RNA-seq data (http://scenic.aertslab.org). On a compendium of single-cell data from tumors and brain, we demonstrate that cis-regulatory analysis can be exploited to guide the identification of transcription factors and cell states. SCENIC provides critical biological insights into the mechanisms driving cellular heterogeneity.
Conflict of interest statement
The authors declare no competing financial interests.
Figures
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