Author

Francois Thenier

Centre National de la Recherche ScientifiqueORCID 0009-0006-9345-7721Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1 Research Focus:protein design· 1

Frequent Co-Authors

Abdul I. BarakatiD· 1 shared Anne-Laure GrindeliD· 1 shared Bernard MaillèreiD· 1 shared Bettina Roellinger· 1 shared Camille Le Drezen· 1 shared Catherine CoiraultiD· 1 shared Catia OliveiraiD· 1 shared Charles TruilletiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCell Biology

Abdul I. BarakatORCID

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2 papers

Recent·Most cited

Molecular BiologybioRxivPreprintJul 16, 2026

Machine Learning-Guided Engineering of High-Affinity Cross-Reactive Antibodies with Minimal Mutations

Hugo Dorison, Anne-Laure Grindel, Francois Thenier…·Hervé Nozach

The paper engineers high-affinity cross-reactive antibodies with minimal mutations using deep learning and deep mutational scanning.

DOI 10.64898/2026.07.15.738714

mouseproteomics

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Cell BiologyScientific ReportsPeer-reviewedJul 1, 2025

A Variational Autoencoder Model for Clustering of Cell Nuclei on Microgroove Substrates: Potential for Disease Diagnosis

Bettina Roellinger, Francois Thenier, Claire Leclech…·Abdul I. Barakat

This study uses a variational autoencoder to cluster nuclei on microgroove substrates, distinguishing between wildtype and laminopathy myoblasts based on nuclear deformation.

1 citation

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