Feature Selection for Gene Expression Using Model-Based Entropy.
Shenghuo ZhuDingding WangKai YuTao LiYihong GongPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2010)
Keyphrases
- gene expression
- feature selection
- gene expression data
- microarray data
- microarray
- gene expression data sets
- mutual information
- microarray datasets
- dna microarray
- gene selection
- gene expression patterns
- high dimensionality
- information theory
- text categorization
- gene expression data analysis
- biological processes
- gene regulation
- biological networks
- gene expression profiles
- gene expression microarray data
- drosophila melanogaster
- information theoretic
- high throughput
- microarray data analysis
- genomic data
- colon cancer
- binding sites
- regulatory networks
- machine learning
- experimental conditions
- cancer classification
- gene expression analysis
- feature space
- functional genomics
- similarity measure
- feature extraction
- data sets
- molecular biology
- feature subset
- feature set
- high dimensional
- differentially expressed genes