(0 < q < 1) Regularization for Feature Selection Using Gene Expression Data.
Ziyi YangYong LiangHui ZhangHua ChaiBowen ZhangCheng PengPublished in: IEEE Access (2018)
Keyphrases
- gene expression data
- feature selection
- microarray data
- high dimensionality
- microarray
- gene expression
- gene expression data sets
- gene expression datasets
- cancer classification
- analysis of gene expression data
- gene expression analysis
- microarray gene expression data
- microarray datasets
- gene selection
- gene regulatory networks
- data sets
- tumor classification
- feature space
- feature selection algorithms
- text categorization
- regulatory networks
- image processing
- cancer diagnosis
- dna microarray
- model selection
- support vector machine
- gene expression profiling
- gene expression data analysis
- support vector
- clustering gene expression data
- neural network
- biological information
- feature ranking
- high throughput
- text classification
- feature set
- high dimensional
- machine learning
- feature subset