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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.

SUBMITTER: Aibar S 

PROVIDER: S-EPMC5937676 | BioStudies | 2017-01-01

REPOSITORIES: biostudies

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