Author

Nicolas Savy

Centre National de la Recherche ScientifiqueORCID 0000-0001-9839-9598Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Flore N'kam SuguemiD· 1 shared Philippe Saint-PierreiD· 1 shared Sébastien DejeaniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Flore N'kam SuguemORCID

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1 paper

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedAug 1, 2026

Comparing optimal transport and machine learning approaches for databases merging in scenarios involving missing data in covariates.Application to Medical Research

Flore N'kam Suguem, Sébastien Dejean, Philippe Saint-Pierre, Nicolas Savy

The paper compares optimal transport and machine learning methods for recoding categorical variables in merged clinical datasets with missing data, finding OTrecod more accurate in challenging scenarios.

DOI 10.1093/bioinformatics/btag594

electronic health recordsstatistical model

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