article Open AccessTop 1% cited
SCENIC: single-cell regulatory network inference and clustering
Nature Methods · 2017 · Vol. 14(11) · pp. 1083–1086
Sara Aibar✉(VIB-KU Leuven Center for Brain & Disease Research)Carmen Bravo González‐Blas(VIB-KU Leuven Center for Brain & Disease Research)Thomas Moerman(IMEC)Vân Anh Huynh‐Thu(University of Liège)Hana Imrichová(VIB-KU Leuven Center for Brain & Disease Research)Gert Hulselmans(VIB-KU Leuven Center for Brain & Disease Research)Florian Rambow(VIB-KU Leuven Center for Cancer Biology)Jean‐Christophe Marine(VIB-KU Leuven Center for Cancer Biology)Pierre Geurts(University of Liège)Jan Aerts(IMEC)Joost van den Oord(KU Leuven)Zeynep Kalender Atak(VIB-KU Leuven Center for Brain & Disease Research)Jasper Wouters(VIB-KU Leuven Center for Brain & Disease Research)Stein Aerts(VIB-KU Leuven Center for Brain & Disease Research)
Single-cell and spatial transcriptomicsGene Regulatory Network AnalysisCell Image Analysis TechniquesCluster analysisInferenceComputational biologyComputer scienceGene regulatory networkArtificial intelligenceBiologyGeneticsGeneGene expression
MeSH terms
AlgorithmsAnimalsBrainHumansCluster AnalysisGene Expression ProfilingMiceGene Regulatory NetworksSingle-Cell Analysis
Funding
- Fonds Wetenschappelijk Onderzoek
- Vlaamse regering
Citations
6,605
FWCI
72.54
field-weighted impact
References
40
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100%
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