Information-Theoretic Feature Selection in Microarray Data Using Variable Complementarity.
Patrick E. MeyerColas SchretterGianluca BontempiPublished in: IEEE J. Sel. Top. Signal Process. (2008)
Keyphrases
- microarray data
- information theoretic
- feature selection
- mutual information
- information theory
- microarray classification
- gene selection
- microarray data analysis
- information theoretic measures
- microarray
- gene expression
- gene expression data
- text categorization
- high dimensional
- dimensionality reduction
- data sets
- text classification
- feature set
- jensen shannon divergence
- feature selection algorithms
- small number of samples
- cancer classification
- machine learning
- support vector machine
- support vector
- feature space
- classification accuracy
- microarray datasets
- gene ontology
- high dimensionality
- cluster analysis
- gene sets
- multi class
- informative features
- gene clusters
- feature subset
- image segmentation
- feature extraction
- similarity measure
- sample size