Protein-chemical Interaction Prediction via Kernelized Sparse Learning SVM.
Yi ShiXinhua ZhangXiaoping LiaoGuohui LinDale SchuurmansPublished in: Pacific Symposium on Biocomputing (2013)
Keyphrases
- sparse learning
- protein interaction
- kernel function
- support vector
- support vector machine svm
- multi task
- feature selection
- relevance vector machine
- drug discovery
- elastic net
- support vector machine
- protein protein interactions
- knn
- multi class
- training set
- training data
- protein sequences
- hyperplane
- machine learning
- gene expression
- high dimensional data
- support vectors
- maximum margin
- natural images
- principal component analysis
- undirected graphical models
- active learning
- feature vectors
- high dimensional