Author

Aurélie Swalduz

Lyon 1 UniversitéORCID 0000-0002-8398-9373Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Alberto RomagnoniiD· 1 shared Alexandra HardyiD· 1 shared Andre L. MoreiraiD· 1 shared Benoît SchmauchiD· 1 shared Brooke E. HowittiD· 1 shared Caroline TruntzeriD· 1 shared Charles MaussioniD· 1 shared Elodie Pronier· 1 shared

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2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alberto RomagnoniORCID

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1 paper

Recent·Most cited

BioinformaticsiSciencePeer-reviewedDec 20, 2024

Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients.

Benoît Schmauch, Vincent Cabeli, Omar Darwiche Domingues…·Matteo Cesaroni

This study uses deep learning to predict YAP1/TEAD activity from histology slides, linking histological patterns to disease aggressiveness in cancer patients.

2 citations

humanspatial transcriptomics

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