Author

Nathan Vinçon

Lyon 1 Université

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 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Organism:non-human primate· 1 Approach:statistical model· 1

Frequent Co-Authors

Henry KennedyiD· 1 shared Laurent ArnouldiD· 1 shared Louis-Oscar Morel· 1 shared Lucija RapaniD· 1 shared Meiqi NiuiD· 1 shared Nicola Palomero-GallagheriD· 1 shared Seán Froudist‐WalshiD· 1 shared Sylvain LadoireiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Henry KennedyORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintApr 14, 2025

Three cortical streams for somatosensory information processing

Meiqi Niu, Seán Froudist‐Walsh, Yujie Hou…·Nicola Palomero-Gallagher

This study identifies three cortical streams for somatosensory information processing in macaques by integrating receptor covariance and connectivity data.

2 citations

non-human primatestatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 30, 2022

A Deep Learning solution for triaging patient with cancer from their predicted mutational status using histopathological images

Louis-Oscar Morel, Valentin Dérangère, Laurent Arnould…·Nathan Vinçon

This paper develops a deep learning pipeline to predict mutation status from histopathological images in cancer patients, identifying clinically relevant genes like TP53 and proposing screening strategies.

DOI 10.1101/2022.01.30.475484

humanimaging

𝕏 PostBluesky