An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features.
Cen WanAlex Alves FreitasPublished in: Artif. Intell. Rev. (2018)
Keyphrases
- benchmark datasets
- classification accuracy
- feature extraction
- feature set
- classification models
- feature vectors
- classification method
- classification process
- hierarchical classification
- feature selection algorithms
- feature space
- svm classifier
- machine learning
- uci repository
- gene expression profiles
- extracted features
- class labels
- restricted boltzmann machine
- gene expression analysis
- classification algorithm
- uci machine learning repository
- support vector machine
- data analysis
- training data
- support vector
- data mining
- feature selection
- microarray data analysis
- gene expression datasets
- microarray datasets
- feature subset
- high dimensionality
- microarray
- support vector machine svm
- text mining
- decision trees