Author

María Sangüesa

Universidad Pública de Navarra (UPNA)ORCID 0009-0006-2622-5349Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Carlos E. de AndreaiD· 1 shared Mikel AriziD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Carlos E. de AndreaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 26, 2026

UMITIC: An unsupervised framework for the joint characterization of cellular phenotypes and spatial neighborhoods in multiplex and hyperplex immunofluorescence imaging data

María Sangüesa, Carlos E. de Andrea, Mikel Ariz

UMITIC is an unsupervised framework that characterizes cellular phenotypes and spatial neighborhoods in multiplex imaging data, showing improved accuracy over existing methods.

DOI 10.64898/2026.05.29.728633

humanimaging

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