Feature selection with ensemble learning for prostate cancer diagnosis from microarray gene expression.
Abdu GumaeiRachid SammoudaMabrook Al-RakhamiHussain AlsalmanAli El-ZaartPublished in: Health Informatics J. (2021)
Keyphrases
- ensemble learning
- cancer diagnosis
- feature selection
- gene selection
- gene expression data
- cancer classification
- microarray data
- random forest
- microarray
- generalization ability
- ensemble methods
- gene expression profiles
- feature ranking
- data preprocessing
- ensemble classifier
- feature set
- text categorization
- classification accuracy
- feature space
- high dimensionality
- lung cancer
- unlabeled data
- multi class
- support vector machine
- feature extraction
- data sets
- microarray datasets
- support vector machine svm
- preprocessing step
- feature selection algorithms
- semi supervised learning
- dimensionality reduction
- decision trees
- high throughput
- base classifiers
- benchmark datasets
- naive bayes
- knn
- image processing
- machine learning