Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data. - Victoria Bourgeais; Farida Zehraoui; Mohamed Ben Hamdoune; Blaise Hanczar (BMC Bioinform., 2021)

GraphGONet: a self-explaining neural network encapsulating the Gene Ontology graph for phenotype prediction on gene expression. - Victoria Bourgeais; Farida Zehraoui; Blaise Hanczar (Bioinform., 2022)

Assessment of deep learning and transfer learning for cancer prediction based on gene expression data. - Blaise Hanczar; Victoria Bourgeais; Farida Zehraoui (BMC Bioinform., 2022)

Interprétation de l'apprentissage profond pour la prédiction de phénotypes à partir de données d'expression de gènes. (Interpretation of deep learning for phenotype prediction from gene expression data). - Victoria Bourgeais (2022)