Author

Laetitia Pieruccioni

Centre National de la Recherche Scientifique

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: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 David SimonciniiD· 1 shared Jenny PaupertiD· 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