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Pascale Maillé

Inserm

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Bioinformatics· 1

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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

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

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Alberto RomagnoniORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 11, 2019

Transcriptomic learning for digital pathology

Benoît Schmauch, Alberto Romagnoni, Elodie Pronier…·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.

11 citations

humanspatial transcriptomics