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Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data
International Inflammatory Bowel Disease Genetics Consortium (IIBDGC)
- Universite Paris Diderot
- CNRS École Normale Supérieure Paris-Saclay
- Owkin
- University of Liege
- Katholieke Universiteit Leuven
- Hôpital Robert Debré
- INSERM, U968
- Universite Lille 2 Droit et Sante
- University of Palermo
- Karolinska Institutet
- Universita Degli Studi di Padova
- Orebro University
- Royal Belfast Hospital for Sick Children
- University of Edinburgh
- Technion - Israel Institute of Technology
- Tel Aviv University
- University of Cambridge
- University of Florence
- Yale School of Medicine
- Dienst Nefrologie
- University Hospital Gasthuisberg
- University of Bern
- ENEA
- St Thomas' Hospital
- UniversitatsSpital Zurich (University Hospital of Zurich)
- The Hospital for Sick Children
- Oslo University Hospital
- Flinders University of South Australia
- Free University of Brussels (Universite Libre de Bruxelles)
- CHU UCL Namur - Site Godinne
Research output: Contribution to journal › Article › peer-review