Selection for Feature Gene Subset in Microarray Expression Profiles Based on a Hybrid Algorithm Using SVM and GA.
Wei XiongChen ZhangChunguang ZhouYanchun LiangPublished in: ISPA Workshops (2006)
Keyphrases
- hybrid algorithm
- microarray
- expression profiles
- gene selection
- gene expression
- gene expression profiles
- gene networks
- high throughput
- gene expression data
- microarray data
- particle swarm optimization
- cell cycle
- simulated annealing
- gene ontology
- particle swarm optimization pso
- feature vectors
- support vector machine svm
- tabu search
- high dimensionality
- genetic algorithm
- microarray datasets
- support vector
- genetic algorithm ga
- experimental conditions
- gene expression analysis
- feature subset
- ant colony optimization
- differentially expressed
- differential evolution
- cancer classification
- feature selection
- molecular biology
- feature ranking
- regulatory networks
- support vector machine
- sequence data
- knn
- clustering analysis
- meta analysis
- microarray technology
- gene sets
- cancer diagnosis
- dna microarray
- gene function
- biological processes
- microarray data analysis
- protein protein interactions
- svm classifier
- optimization method
- differentially expressed genes
- protein interaction
- genome wide
- biological data
- data sets
- yeast cell cycle
- transcription factors
- fold cross validation
- gene regulatory networks
- feature set
- evolutionary algorithm
- machine learning
- neural network