Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data.
Pradipta MajiSushmita PaulPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2013)
Keyphrases
- microarray data
- microarray data analysis
- rough fuzzy
- cluster analysis
- meaningful clusters
- microarray
- gene expression profiles
- gene expression
- gene selection
- gene expression data
- computational theory
- differentially expressed genes
- microarray gene expression data
- clustering algorithm
- gene expression analysis
- microarray datasets
- feature selection
- high dimensional
- gene clusters
- independent component analysis
- data sets
- informative genes
- small number of samples
- microarray technology
- rule generation
- k means
- gene networks
- high throughput
- rough sets
- biological data
- biologically meaningful
- dna microarray data
- neural network
- high dimensionality
- cancer classification
- dna microarray
- gene sets
- granular computing
- rough set theory
- clustering method
- fuzzy sets
- gene expression patterns
- pattern recognition
- fuzzy clustering
- unsupervised learning
- data points
- association rules
- data mining
- real world