Cancer Classification by Kernel Principal Component Self-regression.
Bailing ZhangPublished in: Australian Conference on Artificial Intelligence (2006)
Keyphrases
- benchmark datasets
- principal component regression
- cancer classification
- principal components
- kernel space
- gene selection
- microarray
- partial least squares
- random forest
- gene expression data
- microarray data
- gene expression profiling
- gene expression profiles
- principal component analysis
- gene expression
- feature selection
- dimensionality reduction
- feature set
- experimental conditions
- hyperplane
- feature space
- regression methods
- correlation coefficient
- regression model
- regression method
- data sets
- high dimensional
- discriminant analysis
- high dimensionality
- chi square
- decision trees
- covariance matrix
- machine learning