A Hierarchical Ensemble of ECOC for cancer classification based on multi-class microarray data.
Kun-Hong LiuZhihao ZengVincent To-Yee NgPublished in: Inf. Sci. (2016)
Keyphrases
- multi class
- cancer classification
- microarray data
- feature selection
- gene selection
- random forest
- base classifiers
- error correcting output codes
- microarray
- gene expression data
- cancer diagnosis
- gene expression
- microarray gene expression data
- support vector machine
- informative genes
- gene expression profiles
- binary classifiers
- feature ranking
- multi class classification
- binary classification
- data sets
- microarray datasets
- ensemble methods
- high dimensional
- cluster analysis
- pairwise
- high dimensionality
- cost sensitive
- neural network
- decision trees
- class probabilities
- text categorization
- gene sets
- text classification
- unsupervised learning
- dimensionality reduction
- boosting algorithms
- high throughput
- feature extraction
- feature space
- prediction accuracy
- principal component analysis