Predicting protein secondary structure by cascade-correlation neural networks.
Matthew J. WoodJonathan D. HirstPublished in: Bioinform. (2004)
Keyphrases
- cascade correlation
- predicting protein
- secondary structure
- neural network
- back propagation
- recurrent neural networks
- protein sequences
- protein structure
- computational methods
- amino acid sequences
- amino acids
- protein protein interactions
- protein folding
- feed forward
- fuzzy logic
- artificial neural networks
- genetic algorithm
- protein protein
- molecular biology
- network model
- protein function
- learning algorithm
- machine learning