Author

Julien Caldéraro

InsermORCID 0000-0002-5370-0807Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Alberto RomagnoniiD· 1 shared Benoît SchmauchiD· 1 shared Charlie SaillardiD· 1 shared Elodie Pronier· 1 shared Gilles Wainrib· 1 shared Matahi MoariiiD· 1 shared Meriem SeftaiD· 1 shared Mikhail Zaslavskiy· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

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

Transcriptomic learning for digital pathology

Benoît Schmauch, Alberto Romagnoni, Elodie Pronier, Charlie Saillard, Pascale Maillé, Julien Caldéraro, Meriem Sefta, Sylvain Toldo, Mikhail Zaslavskiy, Thomas Clozel, Matahi Moarii, Pierre Courtiol, Gilles Wainrib

This paper introduces HE2RNA, a deep learning model that predicts RNA-Seq profiles from histology slides without expert annotation, showing improved performance in predicting microsatellite instability.

bioRxiv · Oct 11, 2019 · PreprintBioinformatics