Support vectors based correlation coefficient for gene and sample selection in cancer classification.
Piyushkumar A. MundraJagath C. RajapaksePublished in: CIBCB (2010)
Keyphrases
- correlation coefficient
- support vectors
- cancer classification
- gene selection
- microarray
- support vector machine
- ls svm
- gene expression data
- microarray data
- random forest
- support vector
- gene expression profiles
- training data
- chi square
- svm classifier
- kernel function
- svm classification
- training examples
- feature selection
- training samples
- training dataset
- hyperplane
- gene expression
- support vector machine svm
- input space
- principal components
- active learning
- gene ontology
- microarray datasets
- decision trees
- training process
- gene sets
- data sets
- high dimensionality
- high dimensional
- fold cross validation
- logistic regression
- k nearest neighbor
- multi class
- image processing
- computer vision