Author

M. Benoiste

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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Ecology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:diffusion model· 1 Research Focus:ecology & biodiversity· 1 Organism:multiple species· 1 Organism:non-human primate· 1

Frequent Co-Authors

C. Le Bohec· 2 shared E. Trucchi· 2 shared F. A. N. Fernandes· 2 shared A. Houstin· 1 shared A. Krellenstein· 1 shared A. Pallavicini· 1 shared A. Winterl· 1 shared B. Haas· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersEvolutionary Biology

C. Le Bohec

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Author profile →

2 papers

Recent·Most cited

Gene expression shifts in Emperor penguin adaptation to the extreme Antarctic environment

J. R. Paris, F. A. N. Fernandes, F. Pirri, S. Greco, M. Gerdol, A. Pallavicini, M. Benoiste, C. Cornec, L. Zane, B. Haas, C. Le Bohec, E. Trucchi

This study compares gene expression in Emperor and King penguins to identify adaptations to extreme Antarctic environments, finding key roles for muscle and liver in metabolism and regulatory shifts in the brain.

bioRxiv · Nov 29, 2023Evolutionary Biology

RFIDeep: Unfolding the Potential of Deep Learning forRadio-Frequency Identification

G. Bardon, R. Cristofari, A. Winterl, T. Barracho, M. Benoiste, C. Ceresa, N. Chatelain, J. Courtecuisse, F. A. N. Fernandes, M. Gauthier-Clerc, J.-P. Gendner, Y. Handrich, A. Houstin, A. Krellenstein, N. Lecomte, , C. Le Bohec

RFIDeep uses deep learning to analyze RFID mark-recapture data and accurately determine breeding status, phenology, and success in seabirds.

bioRxiv · Mar 25, 2023Ecology