A correlation based SVM-recursive multiple feature elimination classifier for breast cancer disease using microarray.
K. R. KavithaG. Syamili RajendranJ. VarshaPublished in: ICACCI (2016)
Keyphrases
- breast cancer
- microarray
- related genes
- gene selection
- cancer datasets
- support vector
- gene expression
- high throughput
- logistic regression
- microarray data
- feature selection
- gene expression data
- support vector machine
- early detection
- dna microarray
- svm classifier
- recursive feature elimination
- cancer patients
- cancer classification
- training data
- high dimensionality
- breast cancer patients
- training set
- fold cross validation
- support vector machine svm
- gene expression analysis
- multi class
- feature ranking
- gene networks
- gene sets
- feature space
- gene expression profiles
- gene ontology
- genome wide
- experimental conditions
- classification accuracy
- decision trees
- ensemble classifier
- microarray datasets
- similarity measure
- learning algorithm