Author

Bastien Mollet

École Normale Supérieure de LyonORCID 0000-0001-7667-2557Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Organism:human· 1

Frequent Co-Authors

Bruno Maria Colombo· 1 shared Jean‐Loup FauloniD· 1 shared Julien Moehlin· 1 shared Léon FaureiD· 1 shared Marco Antonio Mendoza-ParraiD· 1 shared Wolfram LiebermeisteriD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Bruno Maria Colombo

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2 papers

Recent·Most cited

Systems BiologyNature CommunicationsPeer-reviewedAug 3, 2023

A neural-mechanistic hybrid approach improving the predictive power of genome-scale metabolic models

Léon Faure, Bastien Mollet, Wolfram Liebermeister, Jean‐Loup Faulon

This paper introduces a hybrid neural-mechanistic model that improves phenotype predictions for microorganisms by combining machine learning with constraint-based metabolic models.

93 citationstop 1%

E. colimouse

𝕏 PostBluesky

BioinformaticsCell SystemsPeer-reviewedMay 7, 2021

Inferring functionally relevant molecular tissue substructures by agglomerative clustering of digitized spatial transcriptomes

Julien Moehlin, Bastien Mollet, Bruno Maria Colombo, Marco Antonio Mendoza-Parra

The paper introduces MULTILAYER, a method for clustering spatial transcriptomes into functionally relevant substructures, and evaluates it on public datasets including cancerous prostate biopsies.

34 citations

humanmouse

𝕏 PostBluesky