Author

Olivier Burri

École Polytechnique Fédérale de LausanneORCID 0000-0002-7100-3749Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:mouse· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Audrey ChuatiD· 1 shared Béatrice KunziD· 1 shared Cathrin BriskeniD· 1 shared Daniel SageiD· 1 shared Elodie Marcandalli· 1 shared F. Gisou van der GootiD· 1 shared Fabio De MartinoiD· 1 shared Lucie Josepha BracqiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCell Biology

Audrey ChuatORCID

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2 papers

Recent·Most cited

Intestinal stem cell renewal controlled by capillary morphogenesis gene 2 following injury

Lucie Josepha Bracq, Audrey Chuat, Béatrice Kunz, Olivier Burri, Romain Guiet, F. Gisou van der Goot

This study shows that CMG2 is essential for intestinal stem cell renewal after injury, as its loss impairs stem cell regeneration and Wnt signaling in mice.

bioRxiv · Jan 7, 2025 · PreprintCell Biology

Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features

Quentin Juppet, Fabio De Martino, Elodie Marcandalli, MARTIN G. WEIGERT, Olivier Burri, Michael A. Unser, Cathrin Brisken, Daniel Sage

The paper introduces a deep learning tool to classify xenograft cells in histological images by analyzing contextual features, achieving up to 96% accuracy in distinguishing human and murine cells.

Journal of Mammary Gland Biology and Neoplasia · May 17, 2021Peer-reviewedSystems Biology