HIGHLIGHTS
- who: TYPE et al. from the University of Pennsylvania, United States have published the research: Deep learning approaches for noncoding variant prioritization in neurodegenerative diseases, in the Journal: (JOURNAL)
- what: The aim of this review is to grant readers a complete picture of the current state-of-the-art DL methods that can be used for variant effect prediction and clearly represent the benefits and drawbacks of each given approach. The authors discuss the model interpretation methods relevant for the models discussed later in this review . The authors focus on the key architectural innovations, development . . .
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.