Rough Sets for Selection of Functionally Diverse Genes from Microarray Data.
Sushmita PaulPradipta MajiPublished in: SEMCCO (1) (2011)
Keyphrases
- microarray data
- rough sets
- rough set theory
- gene selection
- microarray
- gene expression
- differentially expressed genes
- gene expression data
- microarray data analysis
- biological data
- microarray gene expression data
- decision rules
- informative genes
- feature selection
- gene networks
- granular computing
- microarray datasets
- rough sets theory
- data sets
- high dimensional
- small number of samples
- gene expression profiles
- gene sets
- data mining
- gene clusters
- pattern recognition
- biologically relevant
- cancer classification
- cluster analysis
- dna microarray data
- dna microarray
- data analysis
- gene expression analysis
- real world
- gene expression patterns
- saccharomyces cerevisiae
- biologically meaningful
- gene expression data sets
- biologically significant
- analysis of gene expression
- machine learning
- regulatory networks
- biological networks
- high dimensionality
- high throughput
- fuzzy logic
- training set
- neural network