Multi-objective Optimization Using Pareto GA for Gene-Selection from Microarray Data for Disease Classification.
Goutam ChakrabortyBasabi ChakrabortyPublished in: SMC (2013)
Keyphrases
- multi objective optimization
- microarray data
- gene selection
- multi objective
- relevant genes
- ovarian cancer
- dna microarray
- cancer classification
- microarray
- microarray data analysis
- evolutionary algorithm
- dna microarray data
- cancer diagnosis
- genetic algorithm
- gene expression
- gene expression profiles
- informative genes
- microarray datasets
- differentially expressed genes
- feature selection
- gene expression data
- microarray classification
- small number of samples
- colon cancer
- differential evolution
- microarray analysis
- gene sets
- data sets
- support vector machine svm
- gene expression microarray data
- gene expression datasets
- biologically relevant
- early detection
- selected genes
- biological data
- feature ranking
- random forest
- objective function
- gene expression data sets
- machine learning
- support vector
- pattern recognition
- support vector machine
- biologically meaningful
- high throughput
- high dimensionality
- fitness function
- machine learning methods
- molecular biology
- neural network
- gene clusters
- feature vectors
- feature extraction
- decision trees
- gene networks