A Hybrid Barnacles Mating Optimizer Algorithm With Support Vector Machines for Gene Selection of Microarray Cancer Classification.
Essam H. HousseinDiaa Salama Abd ElminaamHager N. HassanMustafa M. Al-SayedEmad NabilPublished in: IEEE Access (2021)
Keyphrases
- microarray
- gene selection
- cancer classification
- microarray data
- gene expression
- gene expression data
- cancer diagnosis
- high throughput
- gene expression profiles
- gene expression profiling
- random forest
- gene expression datasets
- high dimensionality
- clustering analysis
- microarray data analysis
- microarray datasets
- microarray analysis
- dna microarray
- support vector machine svm
- colon cancer
- gene expression analysis
- microarray technology
- gene expression data sets
- informative genes
- gene ontology
- experimental conditions
- molecular biology
- feature selection
- data sets
- cluster analysis
- machine learning methods
- input data
- relevant genes
- pattern recognition
- ovarian cancer
- decision trees
- selected genes