Cancer classification using a novel gene selection approach by means of shuffling based on data clustering with optimization.
Vahid ElyasigomariM. S. MirjafariHazel R. C. ScreenM. Hasan ShaheedPublished in: Appl. Soft Comput. (2015)
Keyphrases
- data clustering
- gene selection
- cancer classification
- microarray data
- microarray
- cluster analysis
- cancer diagnosis
- gene expression profiles
- random forest
- unsupervised learning
- gene expression data
- clustering algorithm
- k means
- dna microarray
- relevant genes
- clustering analysis
- colon cancer
- gene expression
- feature selection
- microarray datasets
- support vector machine svm
- experimental conditions
- informative genes
- gene expression datasets
- neural network
- microarray analysis
- maximum likelihood
- feature ranking
- data mining techniques
- support vector machine
- classification accuracy
- data sets