Login / Signup

Mut2Vec: distributed representation of cancerous mutations.

Sunkyu KimHeewon LeeKeonwoo KimTonje G Lien
Published in: BMC medical genomics (2018)
We introduce Mut2Vec that can be utilized to generate distributed representations of mutations and experimentally validate the efficacy of the generated mutation representations. Mut2Vec can be used in various deep learning applications such as cancer classification and drug sensitivity prediction.
Keyphrases
  • deep learning
  • working memory
  • neural network
  • papillary thyroid
  • machine learning
  • artificial intelligence
  • convolutional neural network
  • squamous cell
  • emergency department
  • childhood cancer
  • electronic health record