Author

David Simoncini

Institut de Recherche en Informatique de ToulouseORCID 0000-0002-3772-5473Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Assay:imaging· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Anastasia PacaryiD· 1 shared Clémence BolutiD· 1 shared Jenny PaupertiD· 1 shared Laetitia Pieruccioni· 1 shared Louis CasteillaiD· 1 shared Marielle OussetiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Anastasia PacaryORCID

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1 paper

Recent·Most cited

How to gain valuable insight from scarce data with Machine Learning: a post-hoc explanation tool to identify biases in biological images classification

Clémence Bolut, Anastasia Pacary, Laetitia Pieruccioni, Marielle Ousset, Jenny Paupert, Louis Casteilla, David Simoncini

This study uses ML to classify regenerating vs. scarring mouse tissue images, finding models overfit to individual mice rather than biological features, but successfully extract relevant biological information when tasks align with data capabilities.

bioRxiv · Feb 20, 2026 · PreprintBioinformatics