Stable feature selection based on probability estimation in gene expression datasets.
Melika AhmadiHamid MahmoodianPublished in: Expert Syst. Appl. (2024)
Keyphrases
- probability estimation
- gene expression datasets
- feature selection
- gene expression data
- naive bayes
- cancer classification
- gene selection
- microarray
- microarray data
- decision trees
- microarray datasets
- multi class classification
- high dimensionality
- experimental conditions
- gene expression profiles
- gene expression analysis
- text classification
- cell cycle
- classification accuracy
- gene expression
- multi class
- information gain
- data sets
- feature set
- feature space
- support vector
- logistic regression
- text categorization
- feature extraction
- roc curve
- synthetic datasets
- model selection
- random forest
- classification algorithm
- feature ranking
- high dimensional data
- machine learning
- high dimensional
- receiver operating characteristic
- classification trees
- feature subset
- dimensionality reduction