A novel gene selection algorithm for cancer identification based on random forest and particle swarm optimization.
Elnaz PashaeiMustafa OzenNizamettin AydinPublished in: CIBCB (2015)
Keyphrases
- ensemble classifier
- random forest
- selection algorithm
- cancer classification
- particle swarm optimization
- random forests
- decision trees
- ensemble methods
- gene selection
- prototype selection
- fold cross validation
- feature set
- feature subset
- base classifiers
- microarray
- search algorithm
- multi label
- multi objective
- differential evolution
- feature subset selection
- decision tree learning algorithms
- multi class
- microarray data
- feature space
- gene expression profiles
- data sets
- classification accuracy
- evolutionary algorithm
- artificial neural networks
- feature extraction
- genetic algorithm