Author

Aurélien Madouasse

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementORCID 0000-0002-9254-5707Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Animal Behavior & Cognition· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

Annika M. van Roon· 1 shared Christine FourichoniD· 1 shared David A Graham· 1 shared Denise Dubois· 1 shared Emmanuelle RobardetiD· 1 shared Eric MorignatiD· 1 shared Estelle C. C. ÅgreniD· 1 shared George John Gunn· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Annika M. van Roon

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2 papers

Recent·Most cited

Potential for real-time health and welfare monitoring in experimental rabies infection in red fox (Vulpes vulpes) using implants

Julie Teresa Shapiro, Eric Morignat, Denise Dubois, Nicolas Penel, Aurélien Madouasse, Emmanuelle Robardet, Jean-Philippe Amat, Viviane Hénaux, Sandrine Lesellier

This study tests anomaly detection algorithms on implant data from rabies-infected red foxes to detect early health changes, finding activity level changes detectable before death but no fever.

bioRxiv · Jan 20, 2026 · PreprintAnimal Behavior & Cognition

A modelling framework for the prediction of the herd-level probability of infection from longitudinal data

Aurélien Madouasse, Mathilde Mercat, Annika M. van Roon, David A Graham, Maria Guelbenzu‐Gonzalo, Inge M. G. A. Santman-Berends, Gerdien Van Schaik, Mirjam Nielen, Jenny Frössling, Estelle C. C. Ågren, Roger W. Humphry, Jude I. Eze, George John Gunn, Madeleine K. Henry, Jörn Martin Gethmann, , Christine Fourichon

This paper presents a statistical model to predict herd-level infection probabilities from longitudinal data, applied to bovine viral diarrhoea virus control programs.

Peer Community Journal · Jan 7, 2022Peer-reviewedBioinformatics