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SCENIC: single-cell regulatory network inference and clustering
Sara Aibar, Carmen Bravo González‐Blas, Thomas Moerman, Vân Anh Huynh‐Thu, Hana Imrichová, Gert J. Hulselmans, Florian Rambow, Jean‐Christophe Marine, Pierre Geurts, Jan A Aerts, Joost van den Oord, Zeynep Kalender Atak, Jasper Wouters, Stein Aerts
Nature Methods · 2017 · ▲ 7,345 citations
Abstract
SCENIC is a computational method for simultaneous gene regulatory network inference and cell clustering from single-cell RNA sequencing data. Nature Methods.
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- 10.1038/nmeth.4463
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- 2026-09-28 MST
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APA
Aibar, S., González‐Blas, C.B., Moerman, T., Huynh‐Thu, V.A., Imrichová, H., Hulselmans, G.J., Rambow, F., Marine, J., Geurts, P., Aerts, J.A., Oord, J.V.D., Atak, Z.K., Wouters, J., & Aerts, S. (2017). SCENIC: single-cell regulatory network inference and clustering. <em>Nature Methods</em>. https://doi.org/10.1038/nmeth.4463
Vancouver
Aibar S, González‐Blas CB, Moerman T, Huynh‐Thu VA, Imrichová H, Hulselmans GJ, et al. SCENIC: single-cell regulatory network inference and clustering. Nature Methods. 2017. doi:10.1038/nmeth.4463.
BibTeX
@article{sara2017SCENIC,
title = {SCENIC: single-cell regulatory network inference and clustering},
author = {Sara Aibar and Carmen Bravo González‐Blas and Thomas Moerman and Vân Anh Huynh‐Thu and Hana Imrichová and Gert J. Hulselmans and Florian Rambow and Jean‐Christophe Marine and Pierre Geurts and Jan A Aerts and Joost van den Oord and Zeynep Kalender Atak and Jasper Wouters and Stein Aerts},
journal = {Nature Methods},
year = {2017},
doi = {10.1038/nmeth.4463},
}
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