Feature Selection of Gene Expression Data Using Regression Model.
Ho-Sun ShonKeun Ho RyuKyung-Sook YangPublished in: CIT (2010)
Keyphrases
- regression model
- gene expression data
- feature selection
- model selection
- high dimensionality
- microarray data
- microarray
- gene expression
- gene expression data sets
- microarray datasets
- data sets
- gene regulatory networks
- gene selection
- analysis of gene expression data
- gaussian process
- cancer classification
- multivariate regression
- gene expression analysis
- regression analysis
- gene expression profiles
- gene expression datasets
- microarray gene expression data
- text categorization
- regulatory networks
- feature space
- generalized linear models
- explanatory variables
- gene expression data analysis
- gene expression profiling
- neural network
- information gain
- text classification
- feature subset
- high throughput
- gene expression patterns
- classification accuracy
- feature extraction
- multi task
- cancer diagnosis
- high dimensional data
- feature set
- dimensionality reduction
- support vector machine
- high dimensional
- pattern recognition
- support vector