Large scale genotype‐ and phenotype‐driven machine learning in Von Hippel‐Lindau disease

Author:

Chiorean Andreea1,Farncombe Kirsten M.2,Delong Sean1,Andric Veronica1,Ansar Safa1,Chan Clarissa1,Clark Kaitlin34,Danos Arpad M.34,Gao Yizhuo1,Giles Rachel H.5,Goldenberg Anna6,Jani Payal1,Krysiak Kilannin34,Kujan Lynzey34,Macpherson Samantha1,Maher Eamonn R.78,McCoy Liam G.1,Salama Yasser1,Saliba Jason34,Sheta Lana34,Griffith Malachi34,Griffith Obi L.34ORCID,Erdman Lauren6,Ramani Arun6,Kim Raymond H.9101112ORCID

Affiliation:

1. Department of Medicine, Division of Medical Oncology University Health Network Toronto Ontario Canada

2. Toronto General Hospital Research Institute University Health Network Toronto Ontario Canada

3. Department of Medicine, Division of Oncology, Washington University School of Medicine Washington University St. Louis Missouri USA

4. McDonnell Genome Institute Washington University School of Medicine Missouri St. Louis USA

5. International Kidney Cancer Coalition, Duivendrecht‐Amsterdam Duivendrecht The Netherlands

6. Genetics and Genome Biology The Hospital for Sick Children Toronto Ontario Canada

7. Department of Medical Genetics University of Cambridge Cambridge UK

8. NIHR Cambridge Biomedical Research Centre Cambridge Biomedical Campus Cambridge UK

9. Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre University Health Network and Sinai Health System Toronto Ontario Canada

10. Division of Clinical and Metabolic Genetics The Hospital for Sick Children Toronto Ontario Canada

11. Ontario Institute for Cancer Research Toronto Ontario Canada

12. Department of Medicine University of Toronto Toronto Ontario Canada

Publisher

Hindawi Limited

Subject

Genetics (clinical),Genetics

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