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Fast randomization of large genomic datasets while preserving alteration counts.

Andrea GobbiFrancesco IorioKevin J. DawsonDavid C. WedgeDavid TamboreroLudmil B. AlexandrovNúria López-BigasMathew GarnettGiuseppe JurmanJulio Saez-Rodriguez
Published in: Bioinform. (2014)
Keyphrases
  • benchmark datasets
  • high throughput
  • uci machine learning repository
  • privacy preserving
  • real time
  • neural network
  • synthetic and real datasets
  • machine learning
  • case study
  • sequence data
  • human genome