A hybrid approach for gene selection and classification using support vector machine.
Jaison BennetChilambuchelvan GanaprakasamNirmal KumarPublished in: Int. Arab J. Inf. Technol. (2015)
Keyphrases
- support vector machine
- gene selection
- support vector machine svm
- cancer classification
- feature selection
- microarray data
- svm classifier
- microarray data analysis
- microarray
- cancer diagnosis
- relevant genes
- tumor classification
- gene expression profiles
- dna microarray
- support vector
- dna microarray data
- colon cancer
- machine learning
- feature vectors
- ovarian cancer
- microarray analysis
- svm classification
- generalization ability
- decision boundary
- survival prediction
- microarray datasets
- gene expression
- gene expression data
- high classification accuracy
- feature space
- recursive feature elimination
- multi class
- microarray classification
- small number of samples
- neural network
- classification accuracy
- training set
- feature ranking
- data sets
- machine learning methods
- image classification
- high dimensional
- decision trees
- feature extraction
- wilcoxon rank sum
- wrapper method
- data mining
- learning algorithm
- data analysis
- principal component analysis
- text classification
- class labels
- fold cross validation
- terms of classification accuracy