| Large sample size and nonlinear sparse models outline epistatic effects in inflammatory bowel disease N Verplaetse, A Passemiers, A Arany, Y Moreau, D Raimondi Genome Biology 24 (1), 224, 2023 | 6 | 2023 |
| Genome interpretation in a federated learning context allows the multi-center exome-based risk prediction of Crohn’s disease patients D Raimondi, H Chizari, N Verplaetse, BS Löscher, A Franke, Y Moreau Scientific Reports 13 (1), 19449, 2023 | 4 | 2023 |
| Towards genome interpretation: Computational methods to model the genotype-phenotype relationship D Raimondi, G Orlando, N Verplaetse, P Fariselli, Y Moreau Frontiers in Bioinformatics 2, 1098941, 2022 | 3 | 2022 |
| Biologically meaningful genome interpretation models to address data underdetermination for the leaf and seed ionome prediction in Arabidopsis thaliana D Raimondi, A Passemiers, N Verplaetse, M Corso, Á Ferrero-Serrano, ... Scientific Reports 14 (1), 13188, 2024 | | 2024 |
| DOP31 Serum protein markers for early and differential IBD diagnosis validated by machine learning approaches S Verstockt, N Verplaetse, D Raimondi, B Verstockt, E Glorieus, ... Journal of Crohn's and Colitis 14 (Supplement_1), S070-S070, 2020 | | 2020 |
| MACHINE LEARNING APPROACHES VALIDATE SEROLOGICAL MARKERS FOR EARLY AND DIFFERENTIAL DIAGNOSIS S Verstockt, N Verplaetse, D Raimondi, B Verstockt, E Glorieus, ... Gastroenterology 158 (6), S687-S687, 2020 | | 2020 |
