SCENIC: single-cell regulatory network inference and clustering.
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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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