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A functional analysis of omic network embedding spaces reveals key altered functions in cancer.

Sergio Doria-BelenguerAlexandros XenosGaia CeddiaNoël Malod-DogninNataša Pržulj
Published in: Bioinformatics (Oxford, England) (2023)
Data and source code can be accessed at https://github.com/gaiac/FMM.
Keyphrases
  • papillary thyroid
  • squamous cell
  • electronic health record
  • big data
  • lymph node metastasis
  • childhood cancer
  • artificial intelligence
  • deep learning
  • young adults