G4mismatch: deep neural networks to predict g-quadruplex propensity based on g4-seq data

HIGHLIGHTS

• who: Mira Barshai et al. from the School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel have published the research work: G4mismatch: Deep neural networks to predict G-quadruplex propensity based on G4-seq data, in the Journal: (JOURNAL)
• what: Last the authors demonstrate the ability to deduce the mechanism behind formation by unique visualization of the principles learned by the model. The authors show how the model learned known and novel molecular principles underlying folding. The authors report the results in a leave-chromosome-out setting, which is . . .
  

   

  

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

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

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