Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms.
Enrique AlbaJosé García-NietoLaetitia JourdanEl-Ghazali TalbiPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- gene selection
- cancer classification
- support vector machine svm
- microarray data
- hybrid algorithms
- microarray
- hybrid algorithm
- cancer diagnosis
- genetic algorithm ga
- gene expression data
- feature selection
- particle swarm optimization pso
- dna microarray
- relevant genes
- genetic algorithm
- gene expression
- gene expression profiles
- particle swarm optimization
- microarray analysis
- colon cancer
- metaheuristic
- support vector machine
- fitness function
- microarray datasets
- svm classifier
- artificial neural networks
- data mining
- radial basis function
- random forest
- ant colony optimization
- feature ranking
- simulated annealing
- multi objective
- pattern recognition
- machine learning