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NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signatures.

David Martínez-EnguitaSanjiv K. DwivediRebecka JörnstenMika Gustafsson
Published in: Briefings Bioinform. (2023)
Keyphrases
  • data driven
  • risk factors
  • risk assessment
  • learning algorithm
  • case study
  • dna sequences
  • machine learning
  • data analysis
  • statistical methods
  • computer networks
  • cardiovascular disease