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A novel machine learning-based approach for the computational functional assessment of pharmacogenomic variants.

Maria-Theodora PandiMaria KorominaIordanis TsafaridisSotirios PatsilinakosEvangelos ChristoforouPeter J van der SpekGeorge P Patrinos
Published in: Human genomics (2021)
Overall, the proposed RF-based classification model holds promise to lead to an extremely useful variant prioritization and act as a scoring tool with interesting clinical applications in the fields of pharmacogenomics and personalized medicine.
Keyphrases
  • machine learning
  • big data
  • clinical decision support
  • artificial intelligence
  • deep learning
  • copy number
  • adverse drug
  • gene expression
  • emergency department
  • electronic health record
  • drug induced