Author

Olivier Filangi

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementORCID 0000-0002-2094-3271Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 3 Approach:statistical model· 3 Organism:human· 2 Assay:metabolomics· 2

Frequent Co-Authors

Clément FrainayiD· 3 shared Fabien JourdaniD· 3 shared Franck GiacomoniiD· 3 shared Maxime DelmasiD· 3 shared Christophe Dupérier· 2 shared Florence VinsoniD· 2 shared Nils PaulheiD· 2 shared Germán Cano-SanchoiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersBioinformatics

Clément FrainayORCID

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3 papers

Recent·Most cited

Deciphering the links between metabolism and health by building tailored knowledge graphs: application to endometriosis and persistent pollutants

Meije Mathé, Guillaume Laisney, Olivier Filangi, Franck Giacomoni, Maxime Delmas, Germán Cano-Sancho, Fabien Jourdan, Clément Frainay

The paper introduces Kg4j, a framework for building tailored knowledge graphs to explore disease-exposure relationships, applied to endometriosis and persistent pollutants.

bioRxiv · Mar 16, 2026 · PreprintBioinformatics

Suggesting disease associations for overlooked metabolites using literature from metabolic neighbours

Maxime Delmas, Olivier Filangi, Christophe Dupérier, Nils Paulhe, Florence Vinson, Pablo Rodríguez-Mier, Franck Giacomoni, Fabien Jourdan, Clément Frainay

The paper identifies disease associations for 1,047 overlooked metabolites by extending the guilt by association principle using a Bayesian framework, resulting in 35,000 new associations.

bioRxiv · Sep 13, 2022 · PreprintBioinformatics

FORUM: Building a Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases

Maxime Delmas, Olivier Filangi, Nils Paulhe, Florence Vinson, Christophe Dupérier, William Garrier, Paul-Emeric Saunier, Yoann Pitarch, Fabien Jourdan, Franck Giacomoni, Clément Frainay

The paper introduces FORUM, a Knowledge Graph that extracts and connects chemical-disease associations from databases and literature to support biological interpretation.

Bioinformatics · Sep 3, 2021Peer-reviewedBioinformatics