Kernel methods for large-scale genomic data analysis.
Xuefeng WangEric P. XingDaniel J. SchaidPublished in: Briefings Bioinform. (2015)
Keyphrases
- kernel methods
- data analysis
- machine learning
- kernel based clustering
- kernel function
- learning problems
- support vector
- kernel matrix
- support vector machine
- feature space
- learning tasks
- similarity function
- multiple kernel
- kernel pca
- positive semidefinite
- kernel matrices
- data mining
- high dimensional feature space
- kernel fisher discriminant analysis
- neural network
- kernel ridge regression
- high throughput