SCENIC: single-cell regulatory network inference and clustering
S Aibar, CB González-Blas, T Moerman… - Nature …, 2017 - nature.com
Nature methods, 2017•nature.com
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.
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.
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.
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