Using the information embedded in the testing sample to break the limits caused by the small sample size in microarray-based classification.
Manli ZhuAleix M. MartínezPublished in: BMC Bioinform. (2008)
Keyphrases
- microarray
- small sample size
- microarray data
- high dimensionality
- sample size
- gene expression
- dna microarray
- high throughput
- gene expression profiles
- feature selection
- feature space
- microarray data analysis
- acute leukemia
- gene expression microarray data
- microarray analysis
- gene expression datasets
- gene ontology
- gene expression data
- training set
- feature ranking
- experimental conditions
- cancer classification
- support vector machine svm
- dimensionality reduction
- information extraction
- colon cancer
- gene expression profiling
- feature extraction
- decision trees