Improving classification of microarray data using prototype-based feature selection.
Blaise HanczarMélanie CourtineArriel BenisCorneliu HenegarKarine ClémentJean-Daniel ZuckerPublished in: SIGKDD Explor. (2003)
Keyphrases
- microarray data
- feature selection
- microarray datasets
- microarray data analysis
- microarray classification
- gene selection
- building classification models
- cancer classification
- classification accuracy
- microarray
- gene expression data
- small number of samples
- dna microarray data
- gene expression
- informative features
- feature set
- text classification
- high dimensionality
- support vector machine
- feature space
- data sets
- gene expression profiles
- dna microarray
- gene expression microarray data
- text categorization
- gene expression data sets
- informative genes
- feature extraction
- microarray analysis
- model selection
- differentially expressed genes
- feature selection algorithms
- feature subset
- feature ranking
- high dimensional
- gene networks
- classification models
- multi class
- gene expression analysis
- support vector
- cancer diagnosis
- biologically meaningful
- colon cancer
- ovarian cancer
- microarray gene expression data
- machine learning
- gene expression patterns
- feature vectors
- dimensionality reduction
- unsupervised learning
- feature subset selection
- gene clusters
- gene sets
- pattern recognition
- training samples
- selected features
- naive bayes
- cluster analysis