A Granular Self-Organizing Map for Clustering and Gene Selection in Microarray Data.
Shubhra Sankar RayAvatharam GanivadaSankar K. PalPublished in: IEEE Trans. Neural Networks Learn. Syst. (2016)
Keyphrases
- self organizing maps
- microarray data
- gene selection
- cluster analysis
- microarray
- k means
- gene expression profiles
- gene expression
- unsupervised learning
- cancer classification
- microarray data analysis
- microarray classification
- neural network
- feature selection
- gene expression data
- dna microarray
- high dimensional
- relevant genes
- dna microarray data
- data sets
- clustering algorithm
- tumor classification
- informative genes
- biologically relevant
- input data
- small number of samples
- cancer diagnosis
- microarray analysis
- microarray datasets
- high throughput
- biologically meaningful
- ovarian cancer
- differentially expressed genes
- microarray gene expression
- gene expression analysis
- feature ranking
- object recognition
- support vector machine svm
- knowledge discovery
- image processing
- gene ontology
- decision trees
- pattern recognition
- feature space
- pairwise
- clustering method
- colon cancer
- nearest neighbor