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RNTI

MODULAD
Combinaison de méthodes numériques et symboliques pour l'analyse de données métabolomiques
In EGC 2016, vol. RNTI-E-30, pp.555-556
Résumé
Our work consists in developing a workflow using Knowledge Discovery methodologies
to propose advanced predictive biomarkers discovery solutions from metabolomic data. We
propose to use machine learning algorithms for feature selection and FCA for visualization.