RNA Secondary Structure Prediction Using Transformer-Based Deep Learning Models.
Yanlin ZhouTong ZhanYichao WuBo SongChenxi ShiPublished in: CoRR (2024)
Keyphrases
- learning models
- rna secondary structure prediction
- machine learning
- learning algorithm
- secondary structure
- semi supervised learning
- loss function
- learning tasks
- rna secondary structures
- machine learning algorithms
- rna sequences
- classification models
- conditional random fields
- learning problems
- computational biology
- reinforcement learning
- neural network
- protein sequences
- pairwise
- lower bound
- object recognition