Author

Alexandre Bourgoin

Assistance Publique – Hôpitaux de Paris

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Alexandre FiliotiD· 1 shared Antoine OlivieriD· 1 shared Benoît SchmauchiD· 1 shared Delphine Le Corre· 1 shared Elodie Pronier· 1 shared Eric Y. DurandiD· 1 shared Jean-Baptiste SchirattiiD· 1 shared Jean‐François EmileiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alexandre FiliotORCID

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1 paper

Recent·Most cited

A deep learning-based multiscale integration of spatial omics with tumor morphology.

Benoît Schmauch, Loïc Herpin, Antoine Olivier, Thomas Duboudin, Rémy Dubois, Lucie Gillet, Alexandre Filiot, Jean-Baptiste Schiratti, Valentina Di Proietto, Delphine Le Corre, Alexandre Bourgoin, Julien Taı̈eb, Jean‐François Emile, Wolf H. Fridman, Elodie Pronier, , Eric Y. Durand

This paper introduces MISO, a deep learning method that predicts spatial transcriptomics data from H&E slides, enabling spatially resolved gene expression and patient representation for downstream tasks.

Nature Communications · Nov 27, 2025Peer-reviewedBioinformatics