A New Gene Selection Method Based on Random Subspace Ensemble for Microarray Cancer Classification.
Giuliano ArmanoCamelia ChiraNima HatamiPublished in: PRIB (2011)
Keyphrases
- microarray
- gene selection
- cancer classification
- microarray data
- random forest
- gene expression data
- cancer diagnosis
- gene expression
- microarray analysis
- gene expression profiles
- high throughput
- dna microarray
- gene expression profiling
- support vector machine svm
- colon cancer
- gene expression datasets
- feature selection
- gene sets
- high dimensionality
- feature ranking
- support vector machine
- relevant genes
- microarray datasets
- feature set
- gene ontology
- experimental conditions
- machine learning methods
- informative genes
- feature extraction
- similarity measure
- classification accuracy
- supervised learning
- ensemble methods
- machine learning