Selecting Genes for Cancer Classification Using SVM: An Adaptive Multiple Features Scheme.
Wen-Chin HsuChan-Cheng LiuFu ChangSu-Shing ChenPublished in: Int. J. Intell. Syst. (2013)
Keyphrases
- cancer classification
- gene selection
- multiple features
- microarray data
- microarray
- microarray gene expression data
- gene expression data
- feature selection
- gene expression profiling
- gene expression profiles
- cancer diagnosis
- random forest
- support vector machine svm
- gene expression
- feature set
- colon cancer
- feature space
- microarray datasets
- feature vectors
- data fusion
- feature ranking
- support vector machine
- support vector
- svm classifier
- low level features
- incremental learning
- multiple instance learning
- visual information
- machine learning
- experimental conditions
- gene ontology
- image retrieval
- combining multiple
- metric learning
- text classification
- kernel function