Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. - Héctor Climente-González; Chloé-Agathe Azencott; Samuel Kaski; Makoto Yamada (Bioinform., 2019)

Network Aggregation to Enhance Results Derived from Multiple Analytics. - Diane Duroux; Héctor Climente-González; Lars Wienbrandt; Kristel Van Steen (AIAI (1), 2020)

Études d'association génome entier guidées par des réseaux. (Network-guided genome-wide association studies). - Héctor Climente-González (2020)

Post-selection inference with HSIC-Lasso. - Tobias Freidling; Benjamin Poignard; Héctor Climente-González; Makoto Yamada (ICML, 2021)

Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer. - Héctor Climente-González; Christine Lonjou; Fabienne Lesueur; GENESIS study group; Dominique Stoppa-Lyonnet; Nadine Andrieu; Chloé-Agathe Azencott (PLoS Comput. Biol., 2021)

Feature screening with kernel knockoffs. - Benjamin Poignard; Peter J. Naylor; Héctor Climente-González; Makoto Yamada (AISTATS, 2022)

FsNet: Feature Selection Network on High-dimensional Biological Data. - Dinesh Singh 001; Héctor Climente-González; Mathis Petrovich; Eiryo Kawakami; Makoto Yamada (IJCNN, 2023)