Accurate and Robust Genomic Prediction of Celiac Disease Using Statistical Learning

• Gad Abraham,

  Affiliations Medical Systems Biology, Department of Pathology and Department of Microbiology & Immunology, The University of Melbourne, Parkville, Victoria, Australia, NICTA Victoria Research Lab, Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia

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• Jason A. Tye-Din,

  Affiliations The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia, Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia, Department of Gastroenterology, The Royal Melbourne Hospital, Parkville, Victoria, Australia

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• Oneil G. Bhalala,

  Affiliation Medical Systems Biology, Department of Pathology and Department of Microbiology & Immunology, The University of Melbourne, Parkville, Victoria, Australia

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• Adam Kowalczyk,

  Affiliation NICTA Victoria Research Lab, Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia

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• Justin Zobel,

  Affiliation NICTA Victoria Research Lab, Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia

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• Michael Inouye

  * E-mail: minouye@unimelb.edu.au

  Affiliation Medical Systems Biology, Department of Pathology and Department of Microbiology & Immunology, The University of Melbourne, Parkville, Victoria, Australia

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