High-order neural networks and kernel methods for peptide-MHC binding prediction.
Pavel P. KuksaMartin Renqiang MinRishabh DugarMark GersteinPublished in: Bioinform. (2015)
Keyphrases
- high order
- kernel methods
- mhc class ii
- binding peptides
- major histocompatibility complex
- neural network
- higher order
- kernel function
- support vector
- learning problems
- low order
- kernel matrix
- machine learning
- feature space
- pairwise
- protein classification
- kernel pca
- reproducing kernel hilbert space
- lower order
- kernel matrices
- learning tasks
- low rank
- support vector machine
- multiple kernel learning
- single nucleotide polymorphisms
- bayesian logistic regression
- markov random field
- tensor analysis
- kernel fisher discriminant analysis
- multi task learning
- training process