SCENIC: single-cell regulatory network inference and clustering

[en] 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.

Disciplines :

Computer science
Biochemistry, biophysics & molecular biology

Author, co-author :

Aibar, Sara; Katholieke Universiteit Leuven - KUL > Department of Human Genetics

González-Blas, Carmen Bravo; Katholieke Universiteit Leuven - KUL > Department of Human Genetics

Moerman, Thomas; Katholieke Universiteit Leuven - KUL

Huynh-Thu, Vân Anh ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Algorith. des syst. en interaction avec le monde physique

Imrichova, Hana; Katholieke Universiteit Leuven - KUL > Department of Human Genetics

Hulselmans, Gert; Katholieke Universiteit Leuven - KUL > Department of Human Genetics

Rambow, Florian; Katholieke Universiteit Leuven - KUL > Department of Oncology

Marine, Jean-Christophe; Katholieke Universiteit Leuven - KUL > Department of Oncology

Geurts, Pierre ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Algorith. des syst. en interaction avec le monde physique

Aerts, Jan; Katholieke Universiteit Leuven - KUL

More authors (4 more)

Language :

English

Title :

SCENIC: single-cell regulatory network inference and clustering

Publication date :

09 October 2017

Journal title :

Nature Methods

ISSN :

1548-7091

eISSN :

1548-7105

Publisher :

Nature Publishing Group

Volume :

Pages :

1083–1086

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 17 November 2017

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