Author

Flore N'kam Suguem

Centre National de la Recherche ScientifiqueORCID 0009-0000-3688-4483Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Nicolas SavyiD· 1 shared Philippe Saint-PierreiD· 1 shared Sébastien DejeaniD· 1 shared Valentin LafargueiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Nicolas SavyORCID

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2 papers

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

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 5, 2025

The Open Constellation of Nutritional Values: Mapping the Health Star Rating System

Valentin Lafargue, Flore N'kam Suguem

The paper introduces OpenHSR, an open dataset for Health Star Rating labeled products, and develops a machine learning model to predict HSR values from nutritional data.

DOI 10.1101/2025.11.05.686692

bulk RNA-seqstatistical model

𝕏 PostBluesky