Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data.
Chaoyang ZhangPeng LiArun RajendranYouping DengDequan ChenPublished in: BMC Bioinform. (2006)
Keyphrases
- microarray data
- support vector
- gene selection
- large margin classifiers
- feature selection
- learning machines
- microarray
- gene expression
- feature ranking
- cancer classification
- support vector machine
- gene expression data
- microarray classification
- data sets
- high dimensional
- svm classifier
- logistic regression
- microarray data analysis
- hyperplane
- support vector machine svm
- cancer diagnosis
- kernel methods
- generalization ability
- support vectors
- microarray datasets
- cross validation
- gene expression profiles
- multi class classification
- differentially expressed genes
- small number of samples
- dna microarray data
- microarray gene expression data
- decision boundary
- kernel function
- loss function
- cluster analysis
- gene sets
- classification accuracy
- high dimensionality
- high throughput
- dimensionality reduction
- binary classification
- gene clusters
- text categorization
- binary classifiers
- feature set
- ls svm
- cost sensitive