Applying 1-norm SVM with squared loss to gene selection for cancer classification.
Li ZhangWeida ZhouBangjun WangZhao ZhangFanzhang LiPublished in: Appl. Intell. (2018)
Keyphrases
- gene selection
- cancer classification
- microarray data
- microarray
- support vector machine svm
- cancer diagnosis
- squared loss
- gene expression
- gene expression data
- colon cancer
- feature selection
- gene expression profiles
- relevant genes
- informative genes
- gene expression datasets
- feature ranking
- biologically relevant
- support vector machine
- microarray datasets
- neural network
- support vector
- dna microarray
- data sets
- high throughput
- gene sets
- feature extraction
- similarity measure