Hybrid Feature Selection Using Correlation Coefficient and Particle Swarm Optimization on Microarray Gene Expression Data.
Arunkumar ChinnaswamyRamakrishnan SrinivasanPublished in: IBICA (2015)
Keyphrases
- correlation coefficient
- microarray gene expression data
- particle swarm optimization
- feature selection
- microarray data
- gene expression data
- microarray datasets
- cancer classification
- information gain
- stepwise regression
- microarray
- chi square
- text categorization
- high dimensionality
- genetic algorithm
- gene regulatory networks
- gene selection
- feature extraction
- random forest
- root mean squared error
- gene expression
- feature selection algorithms
- principal components
- learning algorithm
- root mean square error
- informative genes
- image processing
- bayesian networks
- support vector
- data mining
- text classification
- feature set
- high dimensional
- data sets
- gene expression profiles
- selected features
- biological data
- feature space
- dimensionality reduction
- classification accuracy