Feature Selection Combined with Random Subspace Ensemble for Gene Expression Based Diagnosis of Malignancies.
Alberto BertoniRaffaella FolgieriGiorgio ValentiniPublished in: WIRN (2004)
Keyphrases
- gene expression
- random subspace
- feature selection
- random forest
- feature subspace
- gene expression data
- ensemble learning
- microarray data
- subspace methods
- ensemble methods
- microarray
- classifier fusion
- feature set
- random sampling
- nearest neighbor classifiers
- cancer diagnosis
- gene selection
- random forests
- majority voting
- cancer classification
- base classifiers
- decision trees
- ensemble classifier
- gene expression patterns
- text categorization
- feature subset
- support vector machine
- fold cross validation
- gene expression profiles
- high dimensionality
- classifier ensemble
- feature ranking
- multi class
- feature space
- dimension reduction
- principal component analysis
- machine learning methods
- cross validation
- model selection
- support vector
- pattern recognition
- multi label
- benchmark datasets
- naive bayes
- text classification
- combining multiple
- comparative analysis
- cluster analysis
- prediction accuracy
- co occurrence
- classification accuracy
- feature vectors
- machine learning