Using Fuzzy Patterns for Gene Selection and Data Reduction on Microarray Data.
Fernando DíazFlorentino Fdez-RiverolaDaniel Glez-PeñaJuan M. CorchadoPublished in: IDEAL (2006)
Keyphrases
- microarray data
- gene selection
- data reduction
- feature selection
- microarray
- cancer classification
- high dimensionality
- gene expression data
- gene expression
- gene expression patterns
- microarray classification
- preprocessing
- knowledge discovery
- biological data
- gene expression profiles
- high dimensional
- relevant genes
- microarray data analysis
- data sets
- informative genes
- classification rules
- gene networks
- biologically meaningful
- dna microarray data
- biologically relevant
- data mining
- dna microarray
- cluster analysis
- cancer diagnosis
- classification accuracy
- differentially expressed genes
- data analysis
- microarray datasets
- small number of samples
- fuzzy rules
- dimensionality reduction
- gene sets
- data mining techniques
- rough set theory
- ovarian cancer
- microarray analysis
- selected genes
- feature ranking
- model selection
- text classification
- real world
- text categorization
- unsupervised learning
- association rules
- pattern recognition
- feature extraction