Sequence similarity governs generalizability of de novo deep learning models for RNA secondary structure prediction.
Xiangyun QiuPublished in: PLoS Comput. Biol. (2023)
Keyphrases
- learning models
- sequence similarity
- secondary structure
- rna secondary structure prediction
- rna sequences
- rna secondary structures
- computational methods
- learning algorithm
- protein sequences
- protein structure
- semi supervised learning
- machine learning algorithms
- loss function
- machine learning
- learning tasks
- protein folding
- classification models
- amino acids
- protein structure prediction
- conditional random fields
- learning problems
- training data