Gene Selection Using Hybrid Multi-Objective Cuckoo Search Algorithm With Evolutionary Operators for Cancer Microarray Data.
Mohd Shahizan OthmanShamini Raja KumaranLizawati Mi YusufPublished in: IEEE Access (2020)
Keyphrases
- gene selection
- microarray data
- microarray
- cancer classification
- gene expression
- gene expression data
- microarray data classification
- cancer diagnosis
- microarray classification
- gene expression profiles
- dna microarray
- relevant genes
- feature selection
- biologically relevant
- cancer detection
- microarray data analysis
- data sets
- cluster analysis
- biological data
- differentially expressed genes
- high dimensional
- gene expression data analysis
- dna microarray data
- ovarian cancer
- gene expression data sets
- microarray datasets
- informative genes
- gene networks
- gene expression datasets
- small number of samples
- high throughput
- support vector machine
- pattern recognition
- colon cancer
- microarray technology
- gene expression patterns
- microarray analysis
- gene sets
- feature ranking
- selected genes
- gene expression analysis
- support vector machine svm
- supervised learning
- gene clusters