SCENIC: single-cell regulatory network inference and clustering

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.

Publication year:2017

BOF-keylabel:yes

IOF-keylabel:yes

BOF-publication weight:10

CSS-citation score:4

Authors from:Government, Higher Education

Accessibility:Closed