SCENIC: Single-cell regulatory network inference and clustering

Although single-cell RNA-seq is revolutionizing biology, data interpretation remains a challenge. We present SCENIC for the simultaneous reconstruction of gene regulatory networks and identification of cell states. We apply SCENIC to a compendium of single-cell data from tumors and brain, and demons...

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Detalles Bibliográficos
Autores principales: Aibar, Sara, González-Blas, Carmen Bravo, Moerman, Thomas, Huynh-Thu, Vân Anh, Imrichova, Hana, Hulselmans, Gert, Rambow, Florian, Marine, Jean-Christophe, Geurts, Pierre, Aerts, Jan, van den Oord, Joost, Atak, Zeynep Kalender, Wouters, Jasper, Aerts, Stein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937676/
https://www.ncbi.nlm.nih.gov/pubmed/28991892
http://dx.doi.org/10.1038/nmeth.4463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937676/
https://www.ncbi.nlm.nih.gov/pubmed/28991892
http://dx.doi.org/10.1038/nmeth.4463

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