Studying the robustness of ensembles of classifiers used for cancer diagnosis using microarrays datasets.
Mohammed A. GaafarNoha A. YousriMohamed A. IsmailPublished in: BIBM (2013)
Keyphrases
- cancer diagnosis
- microarray
- gene selection
- microarray datasets
- recursive feature elimination
- cancer classification
- gene expression profiles
- gene expression data
- decision trees
- feature ranking
- microarray data
- ensemble learning
- colon cancer
- lung cancer
- gene expression
- feature selection
- ensemble classifier
- data preprocessing
- dna microarray data
- microarray technology
- support vector
- experimental conditions
- training data
- benchmark datasets
- feature set
- gene sets
- data sets
- data mining
- machine learning
- training set
- multi class
- random forest
- training samples
- clustering method
- machine learning algorithms