Using pre-training and interaction modeling for ancestry-specific disease prediction using multiomics data from the UK Biobank

• Thomas Le Menestrel ,

  Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: tlmenest@stanford.edu (TLM); mrivas@stanford.edu (MAR)

  Affiliation Institute for Computational and Mathematical Engineering (ICME), School of Engineering, Stanford University, Stanford, California, United States of America

  https://orcid.org/0009-0005-5901-6407

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• Erin Craig,

  Roles Methodology, Software, Validation, Writing – review & editing

  Affiliation Department of Biomedical Data Science, Stanford University, Stanford, California, United States of America

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• Robert Tibshirani,

  Roles Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing

  Affiliations Department of Statistics, Stanford University, Stanford, California, United States of America, Department of Biomedical Data Science, Stanford University, Stanford, California, United States of America

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• Trevor Hastie,

  Roles Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing

  Affiliation Department of Statistics, Stanford University, Stanford, California, United States of America

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• Manuel Rivas

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

  * E-mail: tlmenest@stanford.edu (TLM); mrivas@stanford.edu (MAR)

  Affiliation Department of Biomedical Data Science, Stanford University, Stanford, California, United States of America

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