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CellCharter: a scalable framework to chart and compare cell niches across multiple samples and spatial -omics technologies
View ORCID ProfileMarco Varrone, View ORCID ProfileDaniele Tavernari, View ORCID ProfileAlbert Santamaria-Martínez, Giovanni Ciriello
doi: https://doi.org/10.1101/2023.01.10.523386
Marco Varrone
1Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
2Swiss Cancer Center Léman, Lausanne, Switzerland
3Swiss Institute of Bioinformatics, Lausanne, Switzerland
Daniele Tavernari
1Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
2Swiss Cancer Center Léman, Lausanne, Switzerland
3Swiss Institute of Bioinformatics, Lausanne, Switzerland
4Swiss Institute for Experimental Cancer Research, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Albert Santamaria-Martínez
2Swiss Cancer Center Léman, Lausanne, Switzerland
4Swiss Institute for Experimental Cancer Research, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Giovanni Ciriello
1Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
2Swiss Cancer Center Léman, Lausanne, Switzerland
3Swiss Institute of Bioinformatics, Lausanne, Switzerland
Posted January 11, 2023.
CellCharter: a scalable framework to chart and compare cell niches across multiple samples and spatial -omics technologies
Marco Varrone, Daniele Tavernari, Albert Santamaria-Martínez, Giovanni Ciriello
bioRxiv 2023.01.10.523386; doi: https://doi.org/10.1101/2023.01.10.523386
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