Gene and sample selection for cancer classification with support vectors based t-statistic.
Piyushkumar A. MundraJagath C. RajapaksePublished in: Neurocomputing (2010)
Keyphrases
- support vectors
- sample selection
- cancer classification
- support vector machine
- gene selection
- training data
- microarray
- svm classification
- gene expression data
- feature selection
- active learning
- support vector
- gene expression profiles
- random forest
- microarray data
- training examples
- svm classifier
- support vector machine svm
- gene expression
- training samples
- kernel function
- multi class
- training dataset
- supervised learning
- microarray datasets
- training process
- data sets
- decision trees
- machine learning
- learning algorithm
- feature vectors
- hyperplane
- input space
- feature space
- feature set
- gene sets
- k nearest neighbor
- experimental conditions
- cost sensitive
- image classification
- input data