Gene expression data classification using genetic algorithm-based feature selection.
Öznur Sinem SönmezMustafa DagtekinTolga EnsariPublished in: Turkish J. Electr. Eng. Comput. Sci. (2021)
Keyphrases
- gene expression data
- feature selection
- high dimensionality
- cancer classification
- microarray datasets
- gene expression
- microarray data
- microarray
- classification accuracy
- gene expression analysis
- gene expression data sets
- dna microarray data
- dna microarray
- gene expression profiles
- tumor classification
- gene expression datasets
- gene selection
- cancer datasets
- text classification
- colon cancer
- feature space
- cancer diagnosis
- gene expression profiling
- feature set
- gene expression data analysis
- support vector
- microarray gene expression data
- gene expression microarray data
- feature extraction
- classification models
- dimensionality reduction
- data sets
- support vector machine
- microarray data analysis
- gene regulatory networks
- decision trees
- feature selection algorithms
- high dimensional data
- text categorization
- machine learning
- analysis of gene expression data
- tissue samples
- support vector machine svm
- clustering analysis
- feature ranking
- pattern recognition
- high dimensional
- small sample size
- nearest neighbor
- simultaneous clustering
- gene expression patterns
- machine learning methods
- neural network
- molecular biology