A New Hybrid and Ensemble Gene Selection Approach with an Enhanced Genetic Algorithm for Classification of Microarray Gene Expression Values on Leukemia Cancer.
Mehmet BilenAli Hakan IsikTuncay YigitPublished in: Int. J. Comput. Intell. Syst. (2020)
Keyphrases
- gene selection
- cancer classification
- survival prediction
- colon cancer
- microarray data
- microarray gene expression
- cancer diagnosis
- relevant genes
- microarray
- dna microarray
- gene expression profiles
- feature ranking
- tumor classification
- feature selection
- support vector machine svm
- dna microarray data
- gene expression data
- ovarian cancer
- informative genes
- random forest
- microarray datasets
- gene expression
- gene expression datasets
- gene expression data analysis
- cancer detection
- support vector machine
- ensemble methods
- machine learning methods
- pattern recognition
- decision trees
- gene sets
- neural network
- feature extraction
- machine learning
- learning algorithm
- classification accuracy
- gene expression data sets
- gene expression analysis
- supervised learning
- high throughput
- biological data
- feature vectors
- training set
- text classification
- high dimensionality