Author

François Ducray

Lyon 1 UniversitéORCID 0000-0002-8150-5785Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Caroline IsaaciD· 2 shared David MeyronetiD· 2 shared Mathieu GabutiD· 2 shared Sylvie Martel· 2 shared Ahmed IdbaïhiD· 1 shared Alexis J. Chambost· 1 shared Annie AdraitiD· 1 shared Antoine SeyveiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersDevelopmental Biology

Caroline IsaacORCID

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2 papers

Recent·Most cited

Developmental BiologyNature CommunicationsPeer-reviewedJan 23, 2023

RSL24D1 sustains steady-state ribosome biogenesis and pluripotency translational programs in embryonic stem cells.

Sébastien Durand, Marion Bruelle, Fleur Bourdelais…·Mathieu Gabut

This study identifies RSL24D1 as a key regulator of ribosome biogenesis and pluripotency in mouse embryonic stem cells, showing its role in maintaining self-renewal and suppressing differentiation.

21 citations

mousebulk RNA-seq

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedNov 9, 2022

Machine learning-based detection of label-free cancer stem-like cell fate

Alexis J. Chambost, Nabila Berabez, Olivier Cochet‐Escartin…·Sylvain Monnier

This study develops a deep learning algorithm for analyzing label-free brightfield microscopy images to detect cancer stem-like cell fate, showing improved accuracy and speed compared to other methods.

15 citations

imagingdeep learning

𝕏 PostBluesky