Author

Brice Hoffmann

ORCID 0000-0003-1703-7099Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Gwenn GuichaouaiD· 2 shared Philippe PineliD· 2 shared Véronique StoveniD· 2 shared Chloé‐Agathe AzencottiD· 1 shared Nicolas Devaux· 1 shared Yann Gaston‐MathéiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Gwenn GuichaouaORCID

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2 papers

Recent·Most cited

BioinformaticsMolecular InformaticsPeer-reviewedMar 1, 2025

A molecular representation to identify isofunctional molecules

Philippe Pinel, Gwenn Guichaoua, Nicolas Devaux…·Véronique Stoven

The paper introduces IFPP, a molecular representation for identifying isofunctional molecules, and proposes Metric Learning to improve scalability for large libraries.

1 citation

statistical modelmachine learning (classical)

𝕏 PostBluesky

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedSep 5, 2024

Drug-Target Interactions Prediction at Scale: the Komet Algorithm with the LCIdb Dataset

Gwenn Guichaoua, Philippe Pinel, Brice Hoffmann…·Véronique Stoven

The paper introduces Komet, a scalable DTI prediction method, and LCIdb, a large DTI dataset, showing improved scalability and performance over existing methods.

9 citations

deep learningstatistical model

𝕏 PostBluesky