Gene Selection Using Gaussian Kernel Support Vector Machine Based Recursive Feature Elimination with Adaptive Kernel Width Strategy.
Yong MaoXiaobo ZhouZheng YinDaoying PiYouxian SunStephen T. C. WongPublished in: RSKT (2006)
Keyphrases
- gaussian kernel
- gene selection
- recursive feature elimination
- support vector machine
- microarray data
- kernel methods
- cancer diagnosis
- microarray
- cancer classification
- reproducing kernel hilbert space
- gene expression data
- support vector machine svm
- feature selection
- gene expression
- support vector
- kernel function
- multi class
- svm classifier
- gene expression profiles
- feature vectors
- feature space
- microarray datasets
- machine learning
- terms of classification accuracy
- gene sets
- feature ranking
- training set
- multiple kernel learning
- knn
- high dimensionality
- k nearest neighbor
- image processing
- image enhancement