Applying Gaussian Distribution-Dependent Criteria to Decision Trees for High-Dimensional Microarray Data.
Raymond WanIchigaku TakigawaHiroshi MamitsukaPublished in: VDMB (2006)
Keyphrases
- microarray data
- gaussian distribution
- high dimensional
- decision trees
- microarray
- gene expression data
- gene selection
- gene expression
- feature selection
- maximum likelihood
- microarray data analysis
- gaussian mixture model
- data sets
- small sample size
- low dimensional
- meta analysis
- cluster analysis
- dna microarray data
- differentially expressed genes
- microarray classification
- microarray datasets
- gene networks
- similarity search
- dimensionality reduction
- high dimensional data
- naive bayes
- microarray gene expression data
- data points
- small number of samples
- logistic regression
- knowledge discovery
- high throughput
- cancer classification
- nearest neighbor
- feature space
- machine learning