A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins.
Marco BonginiVincenzo LavegliaEdmondo TrentinPublished in: ANNPR (2016)
Keyphrases
- recurrent neural networks
- protein sequences
- probabilistic graphical models
- neural network
- application to image segmentation
- neural network structure
- echo state networks
- artificial neural networks
- state space
- complex valued
- genetic algorithm
- decision making
- hidden markov models
- text mining
- first order logic
- reservoir computing