Minimum redundancy maximum relevance and VNS based gene selection for cancer classification in high-dimensional data.
Ahmed Bir-JmelSidi Mohamed DouiriSouad El BernoussiPublished in: Int. J. Comput. Sci. Eng. (2024)
Keyphrases
- minimum redundancy
- high dimensional data
- gene selection
- cancer classification
- gene expression data
- microarray data
- feature selection
- dimensionality reduction
- high dimensionality
- high dimensional
- cancer diagnosis
- microarray
- nearest neighbor
- low dimensional
- data sets
- gene expression profiles
- dna microarray
- missing values
- informative genes
- data points
- gene expression datasets
- colon cancer
- small sample size
- microarray datasets
- gene expression
- data analysis
- relevant genes
- feature ranking
- linear discriminant analysis
- high throughput
- support vector
- support vector machine svm
- decision trees
- database