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