Multivariate Feature Selection using Random Subspace Classifiers for Gene Expression Data.
Vidya P. KamathLawrence O. HallTimothy YeatmanSteven EschrichPublished in: BIBE (2007)
Keyphrases
- gene expression data
- feature selection
- feature subspace
- classifier fusion
- high dimensionality
- microarray data
- feature set
- text categorization
- subspace methods
- support vector
- gene expression
- feature ranking
- feature selection algorithms
- ensemble learning
- majority voting
- gene selection
- classification accuracy
- feature space
- microarray
- support vector machine
- cancer classification
- feature extraction
- text classification
- classification models
- naive bayes
- unsupervised learning
- ensemble classifier
- multi class
- small sample
- ensemble methods
- machine learning
- data sets
- svm classifier
- dimensionality reduction
- fusion scheme
- neural network
- decision trees
- random forest
- base classifiers
- knn