Meta-classifiers for high-dimensional, small sample classification for gene expression analysis.
Kyung-Joong KimSung-Bae ChoPublished in: Pattern Anal. Appl. (2015)
Keyphrases
- small sample
- high dimensional
- gene expression analysis
- high dimensionality
- gene expression data
- sample size
- support vector machine
- microarray
- feature selection
- gene expression
- low dimensional
- dimensionality reduction
- feature space
- microarray data
- ls svm
- dimension reduction
- similarity measure
- unlabeled data
- machine learning methods
- nearest neighbor
- variable selection
- feature selection algorithms
- fold cross validation
- decision trees