SCENIC: single-cell regulatory network inference and clustering.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 28991892.
- Also identified by DOI 10.1038/nmeth.4463 and PMC identifier 5937676.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
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.
Medical subject headings
- Gene Regulatory Networks
- Single-Cell Analysis