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Baptiste Pichon

Centre National de la Recherche Scientifique

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Cancer Biology· 1

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

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Aurélie BèaufrereiD· 1 shared Camille PignoletiD· 1 shared Gwladys Lubuela· 1 shared Jérémy AugustiniD· 1 shared Jerome F. CrosiD· 1 shared Julien CaldéraroiD· 1 shared Kévin Mondet· 1 shared Mickaël LesurteliD· 1 shared

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1 shared paperCancer Biology

Aurélie BèaufrereORCID

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1 paper

Recent·Most cited

Cancer BiologyJHEP ReportsPeer-reviewedNov 13, 2025

Self-supervised learning to predict intrahepatic cholangiocarcinoma transcriptomic classes on routine histology

Aurélie Bèaufrere, Tristan Lazard, Rémy Nicolle…·Valérie Paradis

This paper develops a self-supervised learning model to predict iCCA transcriptomic classes from histological images, achieving good to very good performance in multiple validation sets.

1 citation

humanbulk RNA-seq

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