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A machine learning-based method for feature reduction of methylation data for the classification of cancer tissue origin.

Marco A De VelascoKazuko SakaiSeiichiro MitaniYurie KuraShuji MinamotoTakahiro HaenoHidetoshi HayashiKazuto Nishio
Published in: International journal of clinical oncology (2024)
Using a gradient boosting feature selector shows potential for streamlining methylation-based cancer classification.
Keyphrases
  • machine learning
  • deep learning
  • papillary thyroid
  • big data
  • artificial intelligence
  • squamous cell
  • dna methylation
  • genome wide
  • electronic health record
  • childhood cancer
  • human health
  • capillary electrophoresis