Feature selection for high-dimensional genomic microarray data.
Eric P. XingMichael I. JordanRichard M. KarpPublished in: ICML (2001)
Keyphrases
- microarray data
- feature selection
- high dimensional
- microarray technology
- microarray classification
- microarray
- gene expression data
- gene selection
- high throughput
- biological data
- genomic data
- meta analysis
- small sample size
- gene expression
- high dimensionality
- cancer classification
- microarray datasets
- dimensionality reduction
- informative features
- microarray data analysis
- small number of samples
- feature space
- saccharomyces cerevisiae
- text categorization
- sequence data
- data sets
- gene networks
- similarity search
- low dimensional
- microarray gene expression data
- gene expression data sets
- differentially expressed genes
- support vector
- gene clusters
- gene expression microarray data
- data mining
- dna microarray
- cancer diagnosis
- nearest neighbor
- data points
- machine learning
- feature selection algorithms
- variable selection
- gene expression patterns
- cluster analysis
- training samples
- model selection
- feature set
- support vector machine
- feature extraction