SCENIC: single-cell regulatory network inference and clustering.
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ABSTRACT:
SUBMITTER: Aibar S
PROVIDER: S-EPMC5937676 | biostudies-literature | 2017 Nov
REPOSITORIES: biostudies-literature
Publications
SCENIC: single-cell regulatory network inference and clustering.
Aibar Sara S González-Blas Carmen Bravo CB Moerman Thomas T Huynh-Thu Vân Anh VA Imrichova Hana H Hulselmans Gert G Rambow Florian F Marine Jean-Christophe JC Geurts Pierre P Aerts Jan J van den Oord Joost J Atak Zeynep Kalender ZK Wouters Jasper J Aerts Stein S
Nature methods 20171009 11
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. ...[more]
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