Simvec: predicting polypharmacy side effects for new drugs

HIGHLIGHTS

  • who: Nina Lukashina from the (UNIVERSITY) have published the Article: SimVec: predicting polypharmacy side effects for new drugs, in the Journal: (JOURNAL)
  • what: The authors propose a new method SimVec that solves this problem by enhancing the KG structure with a structure-aware node initialization and weighted drug similarity edges. The authors examine the problem of negative relations generation and show that the cachebased approach works best for tasks. The authors use a preprocessed dataset, provided within the Decagon paper . The authors report the averaged ROC AUC and AUC PR scores, as reported.
  •  

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?