Hybrid GA-IBPSO for Feature Selection Using Microarray Data.
Cheng-San YangLi-Yeh ChuangChang-Hsuan HoCheng-Hong YangPublished in: IMECS (2007)
Keyphrases
- microarray data
- hybrid ga
- feature selection
- microarray classification
- genetic algorithm ga
- microarray
- gene expression data
- gene selection
- meta analysis
- gene expression
- data sets
- neural network
- biological data
- gene expression data sets
- microarray datasets
- cluster analysis
- microarray gene expression data
- microarray data analysis
- small number of samples
- high dimensional
- dna microarray data
- gene clusters
- dna microarray
- informative genes
- cancer classification
- gene sets
- support vector
- differentially expressed genes
- text categorization
- text classification
- feature set
- genetic algorithm
- classification accuracy
- dimensionality reduction
- machine learning
- informative features
- biologically meaningful
- simulated annealing
- gene expression patterns
- gene networks
- feature space
- feature selection algorithms
- artificial neural networks
- high throughput
- support vector machine
- model selection
- similarity measure
- gene expression microarray data