A New Gene Selection Algorithm using Fuzzy-Rough Set Theory for Tumor Classification.
Seyedeh Faezeh FarahbakhshianMilad Taleby AhvanooeyPublished in: CoRR (2020)
Keyphrases
- selection algorithm
- rough set theory
- tumor classification
- fuzzy set theory
- rough sets
- gene selection
- gene expression profiles
- gene expression data
- fuzzy sets
- rough fuzzy
- knowledge reduction
- rule extraction
- informative genes
- microarray
- attribute reduction
- gene expression
- equivalence relation
- microarray data
- decision rules
- decision table
- feature selection
- concept lattice
- feature subset
- search algorithm
- multi step
- cancer classification
- information entropy
- membership functions
- knowledge discovery
- fuzzy logic
- fuzzy rough sets
- approximation spaces
- feature subset selection
- data analysis
- fuzzy rules
- feature selection algorithms
- upper approximation
- data sets
- dominance relation
- support vector machine
- microarray datasets
- clustering analysis
- fuzzy clustering