A machine learning approach to identify the importance of novel features for crispr/cas9 activity prediction

HIGHLIGHTS

• who: Dhvani Sandip Vora et al. from the Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, Hauz Khas have published the research work: A Machine Learning Approach to Identify the Importance of Novel Features for CRISPR/Cas9 Activity Prediction, in the Journal: Biomolecules 2022, x of /2022/
• what: Since the study aimed not to build an off-target 10 of 15 determination model, but rather discern the importance of energy features, more complex models were not tested. This study reported that the incorporation of novel features allows for creating reliable prediction models . . .
  

   

  

  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.