Ensemble Neural Networks with Novel Gene-Subsets for Multiclass Cancer Classification.
Jin-Hyuk HongSung-Bae ChoPublished in: ICONIP (2) (2007)
Keyphrases
- multi class
- cancer classification
- neural network
- random forest
- base classifiers
- feature selection
- gene selection
- microarray
- gene expression data
- gene expression profiles
- ensemble learning
- microarray data
- random forests
- support vector machine
- pairwise
- gene expression
- pattern recognition
- decision trees
- binary classification
- feature set
- artificial neural networks
- binary classification problems
- cost sensitive
- fold cross validation
- feature ranking
- multiclass problems
- gene sets
- ensemble methods
- high dimensionality
- support vector
- self organizing maps
- multi label
- boosting algorithms
- microarray datasets
- text classification
- information gain
- training data
- binary classifiers
- gene ontology
- high dimensional
- benchmark datasets
- prediction accuracy
- support vector machine svm