article Open AccessTop 1% cited
A scalable SCENIC workflow for single-cell gene regulatory network analysis
Nature Protocols · 2020 · Vol. 15(7) · pp. 2247–2276
Bram Van de Sande✉(VIB-KU Leuven Center for Brain & Disease Research)Christopher Flerin(VIB-KU Leuven Center for Brain & Disease Research)Kristofer Davie(VIB-KU Leuven Center for Brain & Disease Research)Maxime De Waegeneer(VIB-KU Leuven Center for Brain & Disease Research)Gert Hulselmans(VIB-KU Leuven Center for Brain & Disease Research)Sara Aibar(VIB-KU Leuven Center for Brain & Disease Research)Ruth Seurinck(Ghent University)Wouter Saelens(Ghent University)Robrecht Cannoodt(Ghent University Hospital)Quentin Rouchon(Ghent University)Toni Verbeiren(Janssen (Belgium))Dries De Maeyer(Janssen (Belgium))Joke Reumers(Janssen (Belgium))Yvan Saeys(Ghent University)Stein Aerts(VIB-KU Leuven Center for Cancer Biology)
Single-cell and spatial transcriptomicsGene Regulatory Network AnalysisBioinformatics and Genomic NetworksRegulonComputer scienceWorkflowComputational biologyScalabilityBiologyData miningGeneGeneticsTranscription factor
MeSH terms
AnimalsHumansCell Line, TumorMiceGene Regulatory NetworksWorkflowSingle-Cell Analysis
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References
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