[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.
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
van den Oord, Joost; Katholieke Universiteit Leuven - KUL > Department of Imaging and Pathology Translational Cell and Tissue Research
Atak, Zeynep Kalender
Wouters, Jasper; Katholieke Universiteit Leuven - KUL > Department of Human Genetics
Aerts, Stein; Katholieke Universiteit Leuven - KUL > Department of Human Genetics
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Bibliography
Linnarsson, S. & Teichmann, S.A. Genome Biol. 17, 97 (2016).
Wagner, A., Regev, A. & Yosef, N. Nat. Biotechnol. 34, 1145-1160 (2016).
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