Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization.
E. Ke TangPonnuthurai N. SuganthanXin YaoPublished in: CIBCB (2005)
Keyphrases
- microarray data
- feature selection
- least squares
- particle swarm optimization
- gene selection
- support vector
- support vector machine
- microarray classification
- gene expression data
- ls svm
- meta analysis
- multi class
- text classification
- differentially expressed genes
- microarray data analysis
- knn
- selected features
- text categorization
- support vector machine svm
- microarray
- cancer classification
- classification accuracy
- feature space
- microarray gene expression data
- feature selection algorithms
- gene expression data sets
- feature subset
- feature ranking
- data sets
- dna microarray data
- gene networks
- pattern recognition
- gene clusters
- informative features
- dna microarray
- small number of samples
- machine learning
- gene expression profiles
- svm classifier
- feature set
- high dimensionality
- gene expression
- unsupervised learning
- model selection
- classification models
- cancer diagnosis
- high throughput
- gene expression patterns
- logistic regression
- training data
- feature extraction