Author

Cantin Baron

Montreal Heart InstituteORCID 0000-0003-0894-1019Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:human· 2 Assay:metabolomics· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Christine Des RosiersiD· 2 shared Julie HussiniD· 2 shared Matthieu RuiziD· 2 shared Pamela MehannaiD· 2 shared Allison E. Ashley‐KochiD· 1 shared Caroline DaneaultiD· 1 shared David BusseuiliD· 1 shared Guillaume LettreiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Christine Des RosiersORCID

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2 papers

Recent·Most cited

BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedJan 1, 2025

Insights into Heart Failure Metabolite Markersthrough Explainable Machine Learning

Cantin Baron, Pamela Mehanna, Caroline Daneault…·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.

7 citations

humanmetabolomics

𝕏 PostBluesky

Systems BiologyiSciencePeer-reviewedNov 14, 2023

Gene-metabolite annotation with shortest reactional distance enhances metabolite genome-wide association studies results

Cantin Baron, Sarah Cherkaoui, Sandra Therrien-Laperriere…·Julie Hussin

This paper introduces the shortest reactional distance (SRD) metric to improve the biological interpretation of metabolite genome-wide association study (mGWAS) results by linking genes to metabolites based on metabolic pathway knowledge.

4 citations

humanmetabolomics

𝕏 PostBluesky