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Onderzoeker
Nora Verplaetse
- Disciplines:Computationele biomodellering en machine learning
Affiliaties
- Dynamische Systemen, Signaalverwerking en Gegevensanalyse (STADIUS) (Afdeling)
Lid
Vanaf8 sep 2020 → Heden
Projecten
1 - 1 of 1
- Identificatie van mechanismes en genetische structuur van ziekten door niet-lineaire fusie van omics dataVanaf8 sep 2020 → HedenFinanciering: Eigen Middelen zoals patrimonium, inschrijvingsgelden, giften, ....
Publicaties
1 - 5 van 5
- Genome interpretation in a federated learning context allows the multi-center exome-based risk prediction of Crohn's disease patients(2023)
Auteurs: Daniele Raimondi, Nora Verplaetse, Yves Moreau
- Large sample size and nonlinear sparse models outline epistatic effects in inflammatory bowel disease(2023)
Auteurs: Nora Verplaetse, Antoine Passemiers, Yves Moreau, Daniele Raimondi
- Towards genome interpretation: Computational methods to model the genotype-phenotype relationship(2022)
Auteurs: Nora Verplaetse, Yves Moreau
- MACHINE LEARNING APPROACHES VALIDATE SEROLOGICAL MARKERS FOR EARLY AND DIFFERENTIAL DIAGNOSIS(2020)
Auteurs: Sare Verstockt, Nora Verplaetse, Daniele Raimondi, Bram Verstockt, Yves Moreau, Marc Ferrante, Séverine Vermeire, Isabelle Cleynen
Pagina's: S687 - S687 - Serum protein markers for early and differential IBD diagnosis validated by machine learning approaches(2020)
Auteurs: Sare Verstockt, Nora Verplaetse, Daniele Raimondi, Bram Verstockt, Yves Moreau, Marc Ferrante, Séverine Vermeire, Isabelle Cleynen
Pagina's: S070 - S070