Combined Feature Selection and Cancer Prognosis Using Support Vector Machine Regression.
Bing-Yu SunZhi-Hua ZhuJiuyong LiBin LinghuPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2011)
Keyphrases
- support vector machine
- feature selection
- breast cancer
- support vector
- support vector machines for classification
- survival analysis
- support vector regression
- gene selection
- early detection
- multi class
- simple linear
- small sample
- feature space
- model selection
- text categorization
- regression model
- supervised feature selection
- regression problems
- svm classifier
- machine learning
- cancer classification
- outcome prediction
- classification accuracy
- support vector machine svm
- k nearest neighbor
- mutual information
- classification method
- gene expression data sets
- radial basis function
- training data
- cancer patients
- text classification
- regression method
- feature set
- high dimensionality
- feature ranking
- knn
- logistic regression
- feature subset
- neural network
- gene expression profiles
- dna microarray
- selected features
- recursive feature elimination
- microarray data