Multiclass cancer classification using a feature subset-based ensemble from microRNA expression profiles.
Yongjun PiaoMinghao PiaoKeun Ho RyuPublished in: Comput. Biol. Medicine (2017)
Keyphrases
- multi class
- feature subset
- feature selection
- gene sets
- gene selection
- gene expression profiles
- microarray data
- feature ranking
- ensemble methods
- gene expression data
- microarray datasets
- feature subset selection
- microarray
- base classifiers
- support vector machine
- gene expression
- classification accuracy
- ensemble learning
- text categorization
- feature selection algorithms
- feature space
- binding sites
- classification models
- support vector
- cost sensitive
- fold cross validation
- high dimensionality
- feature set
- machine learning
- random forest
- dimensionality reduction
- text classification
- neural network
- training set
- model selection
- pairwise
- statistical significance
- gene ontology
- pattern recognition
- support vector machine svm
- feature extraction
- prediction accuracy
- naive bayes
- k nearest neighbor