A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data.
Edmundo Bonilla HuertaBéatrice DuvalJin-Kao HaoPublished in: EvoWorkshops (2006)
Keyphrases
- gene selection
- microarray data
- cancer classification
- support vector machine svm
- relevant genes
- microarray
- microarray data analysis
- feature selection
- microarray datasets
- dna microarray
- dna microarray data
- cancer diagnosis
- gene expression profiles
- informative genes
- gene expression data
- microarray classification
- colon cancer
- ovarian cancer
- hybrid ga
- support vector machine
- gene expression
- microarray analysis
- feature ranking
- gene expression datasets
- biologically relevant
- support vector
- small number of samples
- selected genes
- pattern recognition
- high dimensional
- svm classifier
- cluster analysis
- data sets
- high throughput
- gene expression analysis
- machine learning methods
- unsupervised learning
- feature space
- genetic algorithm ga
- machine learning algorithms
- k nearest neighbor
- differentially expressed genes
- decision trees
- machine learning
- biologically meaningful
- gene expression data sets
- feature vectors
- feature extraction
- high dimensionality