Feature construction from synergic pairs to improve microarray-based classification.
Blaise HanczarJean-Daniel ZuckerCorneliu HenegarLorenza SaittaPublished in: Bioinform. (2007)
Keyphrases
- feature construction
- microarray
- gene expression
- high throughput
- high dimensionality
- gene expression profiles
- gene expression data
- cancer classification
- microarray data analysis
- decision trees
- rule learning
- gene expression analysis
- machine learning
- microarray data
- genetic programming
- gene selection
- microarray analysis
- gene expression microarray data
- microarray datasets
- cancer diagnosis
- feature selection
- concept learning
- gene expression profiling
- support vector
- dna microarray
- data representation
- pattern recognition
- dimension reduction
- tissue samples
- support vector machine svm
- unsupervised learning
- feature space
- microarray images
- supervised learning
- pairwise
- data mining
- text classification