An evolutionary framework based microarray gene selection and classification approach using binary shuffled frog leaping algorithm.
Rasmita DashRajashree DashRasmita RautrayPublished in: J. King Saud Univ. Comput. Inf. Sci. (2022)
Keyphrases
- microarray
- gene selection
- cancer classification
- microarray data
- gene expression profiles
- dna microarray
- gene expression
- microarray data analysis
- high throughput
- gene expression data
- microarray datasets
- cancer diagnosis
- dna microarray data
- colon cancer
- high dimensionality
- microarray analysis
- ovarian cancer
- relevant genes
- gene expression analysis
- gene expression data analysis
- informative genes
- experimental conditions
- gene ontology
- feature selection
- clustering analysis
- gene expression datasets
- support vector machine svm
- gene expression microarray data
- feature ranking
- gene expression data sets
- shuffled frog leaping algorithm
- molecular biology
- selected genes
- gene networks
- random forest
- tissue samples
- unsupervised learning
- support vector machine
- data sets
- microarray technology
- small sample size
- feature vectors
- training set
- differentially expressed genes
- feature extraction
- machine learning