Feature Selection of Gene Expression Data Based on Fuzzy Attribute Clustering.
Elham ChitsazMohammad TaheriSeraj D. KatebiPublished in: World Congress on Engineering (Selected Papers) (2008)
Keyphrases
- gene expression data
- feature selection
- high dimensionality
- microarray
- gene expression analysis
- clustering gene expression data
- gene expression profiles
- microarray data
- gene expression data analysis
- gene expression
- high dimensional data
- microarray data analysis
- clustering analysis
- simultaneous clustering
- analysis of gene expression data
- data sets
- clustering algorithm
- gene expression data sets
- dimensionality reduction
- high dimensional
- gene selection
- gene regulatory networks
- microarray datasets
- fuzzy clustering
- yeast cell cycle
- gene expression profiling
- microarray gene expression data
- biclustering algorithms
- dna microarray
- unsupervised learning
- clustering method
- data points
- high throughput
- gene expression datasets
- feature space
- cancer diagnosis
- text categorization
- cancer classification
- regulatory networks
- data matrix
- k means
- gene networks
- tumor classification
- support vector machine
- feature set
- data mining
- gene expression patterns
- biological processes
- gene ontology
- cluster analysis