Feature selection using neighborhood uncertainty measures and Fisher score for gene expression data classification.
Jiucheng XuKanglin QuKangjian QuQincheng HouXiangru MengPublished in: Int. J. Mach. Learn. Cybern. (2023)
Keyphrases
- gene expression data
- feature selection
- high dimensionality
- cancer classification
- microarray datasets
- microarray data
- gene expression
- microarray
- classification accuracy
- gene expression analysis
- feature space
- gene selection
- dna microarray
- tumor classification
- gene expression data sets
- gene expression profiles
- dna microarray data
- colon cancer
- feature set
- cancer diagnosis
- classification models
- gene expression microarray data
- text classification
- support vector machine
- dimensionality reduction
- gene regulatory networks
- support vector
- microarray data analysis
- cancer datasets
- feature subset
- feature selection algorithms
- tissue samples
- decision trees
- gene expression datasets
- high dimensional
- analysis of gene expression data
- high dimensional data
- model selection
- machine learning
- text categorization
- data sets
- gene networks
- support vector machine svm
- microarray gene expression data
- high throughput
- feature vectors
- pattern recognition
- gene expression profiling
- database
- clustering gene expression data
- gene expression patterns
- small sample size
- gene ontology
- simultaneous clustering
- unsupervised learning