Predicting O-GlcNAcylation Sites in Mammalian Proteins with Transformers and RNNs Trained with a New Loss Function.
Pedro SeberPublished in: CoRR (2024)
Keyphrases
- loss function
- recurrent neural networks
- echo state networks
- biological processes
- pairwise
- support vector
- learning to rank
- empirical risk
- logistic regression
- hinge loss
- risk minimization
- amino acids
- fuzzy neural network
- protein families
- protein protein interactions
- reproducing kernel hilbert space
- svm classifier
- boosting framework
- regularization term
- stochastic gradient descent
- protein interaction
- feedforward neural networks
- neural network
- protein sequences
- convex loss functions