Characterizing personalized effects of family information on disease risk using graph representation learning

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  INTERVENE: International consortium for integrative genomics prediction

  Kaski, S. (Principal investigator), Moen, H. (Project Member), Cui, T. (Project Member), Raj, V. (Project Member), Safinianaini, N. (Project Member), Wharrie, S. (Project Member) & Mäkinen, L. (Project Member)

  01/01/2021 → 31/12/2025

  Project: EU H2020 Framework program

  • Deep Learning Method 100%
  • Large Language Model 60%
  • Neural Network 47%
  • Machine Learning 42%
  • Learning System 42%