Author

Pierre Geurts

University of LiègeORCID 0000-0001-8527-5000Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Carmen Bravo González‐BlasiD· 1 shared Florian RambowiD· 1 shared Gert HulselmansiD· 1 shared Hana ImrichováiD· 1 shared J. AertsiD· 1 shared Jasper WoutersiD· 1 shared Jean‐Christophe MarineiD· 1 shared Joost van den Oord· 1 shared

Activity by Year

2017-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Carmen Bravo González‐BlasORCID

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1 paper

Recent·Most cited

SCENIC: Single-Cell Regulatory Network Inference And Clustering

Sara Aibar, Carmen Bravo González‐Blas, Thomas Moerman, Jasper Wouters, Vân Anh Huynh‐Thu, Hana Imrichová, Zeynep Kalender Atak, Gert Hulselmans, Michael Dewaele, Florian Rambow, Pierre Geurts, J. Aerts, Jean‐Christophe Marine, Joost van den Oord, Stein Aerts

Building gene regulatory networks from scRNA-seq and clustering cells on them identifies stable states robustly to batch effects, applied to mouse and human brain and to melanoma.

Nature Methods · Oct 9, 2017Peer-reviewedBioinformatics