RNAPred is a project for Course Related Project 1 at VinUniversity, focusing on the prediction of ncRNA secondary structures. This educational initiative employs machine learning models to enhance the understanding of ncRNA functionality.
- Project Outline: Project Outline
- Decided Model: Bottleneck ResNet
- Report 1: Due 12/04
- Report 2: Due 03/05
- Report 3: Due 31/05
- Final Report and Poster: To be updated
We extend our gratitude to the educators and peers at VinUniversity for their guidance and collaboration on this project.