Feature Selection for Microarray Gene Expression Data using Simulated Annealing guided by the Multivariate Joint Entropy
Fernando GonzálezLluís A. Belanche MuñozPublished in: CoRR (2013)
Keyphrases
- microarray gene expression data
- feature selection
- simulated annealing
- microarray data
- gene expression data
- microarray datasets
- cancer classification
- mutual information
- microarray
- gene selection
- informative genes
- gene regulatory networks
- text categorization
- evolutionary algorithm
- genetic algorithm
- information theoretic
- support vector
- feature selection algorithms
- information gain
- random forest
- high dimensionality
- gene expression data sets
- cancer diagnosis
- data sets
- text classification
- feature extraction
- gene expression
- feature set
- dimensionality reduction
- feature ranking
- selected features
- machine learning
- gene expression profiles
- data mining
- neural network
- biological data
- classification models
- naive bayes
- model selection
- data analysis
- multi class
- classification accuracy
- feature subset
- high dimensional data
- support vector machine