Dimension Reduction with Support Vector Regression for Ovarian Cancer Microarray Data.
Chen-Chia ChuangJin-Tsong JengShun-Feng SuPublished in: SMC (2005)
Keyphrases
- support vector regression
- dimension reduction
- ovarian cancer
- microarray data
- gene selection
- high dimensional
- cluster analysis
- feature selection
- biologically meaningful
- kernel function
- microarray
- support vector machine svm
- support vector
- high dimensionality
- gene expression
- regression model
- early detection
- principal component analysis
- low dimensional
- support vector machine
- gene expression data
- feature extraction
- linear discriminant analysis
- data sets
- cancer classification
- high dimensional data
- biological data
- dimensionality reduction
- cancer diagnosis
- gene expression profiles
- feature space
- gene networks
- microarray datasets
- variable selection
- preprocessing
- gene sets
- data points
- nearest neighbor
- pairwise
- similarity search