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Recurrent somatic mutations reveal new insights into consequences of mutagenic processes in cancer.

Miranda D. StobbeGian A. ThunAndrea Diéguez-DocampoMeritxell OlivaJustin P. WhalleyEmanuele RaineriIvo G. Gut
Published in: PLoS Comput. Biol. (2019)
Keyphrases
  • process model
  • breast cancer
  • machine learning
  • feed forward
  • early detection
  • data mining
  • artificial intelligence
  • decision making
  • recurrent neural networks