Type
Sujet
Interpretable Methods in Unsupervised and Supervised Learning for Multisource ana- lysis of Exposome Data and Prediction of cancer outcomes
Date de début
Date de fin
Encadrant(s)
Marc Chadeau-Hyam
Equipe(s)
Contrat de recherche
DISCERN
Description/Résumé
Blanche’s thesis deals with variable selection and dimension reduction methods for pan cancer data with multiple outcomes and observed through multiple omics, including exposome data. It is supported by the H2020 project DISCERN and co-supervised with Marc Chadeau-Hyam at Imperial College.
Ecole doctorale (pour les thèses)
EDMH
Directeur.trice (pour les thèses)
Julien Chiquet