Journal
NATURE METHODS
Volume 14, Issue 11, Pages 1083-+Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.4463
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Funding
- Research Foundation - Flanders (FWO) [G.0640.13, G.0791.14, G092916N]
- Special Research Fund (BOF) KU Leuven [PF/10/016, OT/13/103]
- Foundation Against Cancer [2012-F2, 2016-070, 2015-143]
- ERC Consolidator Grant [724226_cis-CONTROL]
- PDM Postdoctoral Fellowship from the KU Leuven
- Kom op Tegen Kanker
- F.R.S.-FNRS Belgium
- agency for Innovation by Science and Technology (IWT)
- Symbiosys
- IMEC HI<^>2 Data Science
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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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