Project Details
Description
Deep learning approach for understanding of gene regulation Deep learning approach for understanding of gene regulation The project involves development of a deep learning model to predict enhancers, promoters and enhancer-transcription factor interactions. The model will be validated on curated knowledge and applied to genome wide prediction on lung, and other tissues. Deep learning approach for understanding of gene regulation Rekha Mudappathi will develop a deep learning model to predict enhancers, promoters and enhancer-transcription factor interactions. The model will be validated on curated knowledge and applied to genome wide prediction on lung and other tissues.
Status | Finished |
---|---|
Effective start/end date | 8/10/20 → 12/26/21 |
Funding
- Mayo Clinic Arizona: $46,415.00
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.