Binary Political Optimizer for Feature Selection Using Gene Expression Data.
Ghaith ManitaOuajdi KorbaaPublished in: Comput. Intell. Neurosci. (2020)
Keyphrases
- gene expression data
- feature selection
- microarray
- high dimensionality
- gene expression
- microarray data
- gene expression data sets
- microarray datasets
- gene regulatory networks
- gene expression analysis
- data sets
- analysis of gene expression data
- gene selection
- gene expression data analysis
- gene networks
- cancer classification
- text categorization
- high dimensional data
- microarray gene expression data
- gene expression profiles
- gene expression datasets
- dna microarray
- classification accuracy
- feature set
- gene expression profiling
- high dimensional
- cancer diagnosis
- high throughput
- gene expression microarray data
- neural network
- support vector
- support vector machine
- dimensionality reduction
- unsupervised learning
- regulatory networks
- feature space
- data matrix
- biological information
- machine learning
- tissue samples
- tumor classification
- database
- biological data
- clustering gene expression data