Hybrid Feature Selection Approach Based on GRASP for Cancer Microarray Data.
Arpita NagpalDeepti GaurPublished in: J. Comput. Inf. Technol. (2017)
Keyphrases
- microarray data
- gene selection
- feature selection
- cancer classification
- biologically significant
- microarray classification
- dna microarray
- relevant genes
- microarray
- gene expression data sets
- gene expression profiles
- microarray technology
- gene expression data
- gene expression
- microarray datasets
- meta analysis
- data sets
- biologically relevant
- microarray gene expression data
- cancer diagnosis
- biological data
- cluster analysis
- microarray data analysis
- gene networks
- small number of samples
- differentially expressed genes
- gene expression microarray data
- gene sets
- text classification
- colon cancer
- dna microarray data
- informative genes
- high dimensional
- informative features
- machine learning
- feature space
- ovarian cancer
- gene clusters
- high dimensionality
- selected features
- biologically meaningful
- unsupervised learning
- classification accuracy
- gene expression patterns
- support vector
- analysis of gene expression