Author

Jocelyn Dupuis

Montreal Heart InstituteORCID 0000-0002-3193-1014Unclaimed 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:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1

Frequent Co-Authors

Cantin BaroniD· 1 shared Caroline DaneaultiD· 1 shared Christine Des RosiersiD· 1 shared David BusseuiliD· 1 shared Jean‐Claude TardifiD· 1 shared Julie HussiniD· 1 shared Leslie Hausermann· 1 shared Matthieu RuiziD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Cantin BaronORCID

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1 paper

Recent·Most cited

Insights into Heart Failure Metabolite Markersthrough Explainable Machine Learning

Cantin Baron, Pamela Mehanna, Caroline Daneault, Leslie Hausermann, David Busseuil, Jean‐Claude Tardif, Jocelyn Dupuis, Christine Des Rosiers, Matthieu Ruiz, Julie Hussin

This study uses machine learning and explainable AI to identify metabolite markers for heart failure, finding that lignoceric acid is a significant discriminator.

Computational and Structural Biotechnology Journal · Jan 1, 2025Peer-reviewedBioinformatics