Unsupervised domain adaptation methods for cross-species transfer of regulatory code signals

HIGHLIGHTS

• who: Pavel Latyshev from the (LITIS), France City University of Hong Kong, Hong Kong have published the Article: Unsupervised domain adaptation methods for cross-species transfer of regulatory code signals, in the Journal: (JOURNAL)
• what: The authors focus only on three types of DA models-divergence-based, adversarial-based and versatile DA with MCC and test their robustness of their predictions with real world data. The authors compare each implementation using the same real world datasets to provide a benchmark for others to use and for future improvements to the underlying algorithms. The study provides . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.