A hybrid Artificial Neural Network-Genetic Algorithm approach for classification of microarray data.
Mehmet BilenAli Hakan IsikTuncay YigitPublished in: SIU (2015)
Keyphrases
- microarray data
- artificial neural networks
- genetic algorithm
- microarray data analysis
- building classification models
- dna microarray data
- microarray
- feature selection
- cancer classification
- microarray datasets
- gene expression profiles
- gene expression
- gene expression data
- gene selection
- ovarian cancer
- classification accuracy
- data sets
- dna microarray
- pattern recognition
- colon cancer
- high dimensional
- neural network
- gene expression microarray data
- small number of samples
- meta analysis
- microarray gene expression data
- machine learning
- multi layer perceptron
- decision trees
- feature extraction
- gene networks
- high dimensionality
- microarray classification
- feature vectors
- gene expression analysis
- biological data
- microarray analysis
- differentially expressed genes
- genetic algorithm ga
- cluster analysis
- cancer diagnosis
- feature set
- nearest neighbor
- biologically meaningful
- informative genes
- supervised learning
- feature space
- support vector