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Explainable AI for Estimating Pathogenicity of Genetic Variants Using Large-Scale Knowledge Graphs.

Shuya AbeShin-Ichiro TagoKazuaki YokoyamaMiho OgawaTomomi TakeiSeiya ImotoMasaru Fuji
Published in: Cancers (2023)
We propose an XAI that uses knowledge graphs for explanation. The proposed method achieves high estimation performance and explainability. This will support the promotion of genomic medicine.
Keyphrases
  • healthcare
  • artificial intelligence
  • copy number
  • biofilm formation
  • escherichia coli
  • staphylococcus aureus
  • cystic fibrosis
  • genome wide