Svision: a deep learning approach to resolve complex structural variants

HIGHLIGHTS

• who: Posted Date January et al. from the School University, Xi`an https://orcidorg/0000-0002-8116, have published the research: SVision: A deep learning approach to resolve complex structural variants, in the Journal: (JOURNAL)
• what: For each subcomponent, the authors examine the breakpoint closeness and event size as well as the detected type.
• how: The results showed that SVision outperforms other callers at all different coverages (Supplementary Table S1) where the F-score of SVision ranged from 0.83 to 0.90 for HiFi and from 0.76 to 0.92 for . . .
  

   

  

  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.