Author

Mathieu Carrière

Centre Inria d'Université Côte d'AzurORCID 0000-0002-7448-3143Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:plant (other)· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexina Damy· 1 shared Aurélien J. F. DugourdiD· 1 shared Julio Sáez-RodrígueziD· 1 shared maxime multariiD· 1 shared Sebastian LobentanzeriD· 1 shared Silvia BottiniiD· 1 shared Stéphanie Jaubert‐PossamaiiD· 1 shared Xavier Amoros-Gabarron· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperSystems Biology

Alexina Damy

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1 paper

Recent·Most cited

A knowledge graph and topological data analysis framework to disentangle the tomato-multi pathogens complex gene regulatory network

maxime multari, Mathieu Carrière, Xavier Amoros-Gabarron, Alexina Damy, Sebastian Lobentanzer, Julio Sáez-Rodríguez, Stéphanie Jaubert‐Possamai, Aurélien J. F. Dugourd, Silvia Bottini

The paper constructs a knowledge graph and uses topological data analysis to uncover the gene regulatory network of tomato's response to multiple pathogens, identifying key transcription factors and regulatory hubs.

bioRxiv · Apr 9, 2025 · PreprintSystems Biology