The dragonn package implements deep neural networks (DNNs) for predictive modeling of regulatory genomics, feature importance methods such as DeepLIFT and in-silico mutagenesis to interpret DNNs, and sequence simulations to systematically develop and interpret dragonn models.
forked from kundajelab/dragonn
-
Notifications
You must be signed in to change notification settings - Fork 0
xinbeibei/dragonn
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Deep Neural Networks Tutorial for Regulatory Genomics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Python 100.0%