A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification.
Alexander R. StatnikovLily WangConstantin F. AliferisPublished in: BMC Bioinform. (2008)
Keyphrases
- cancer classification
- random forests
- random forest
- microarray
- gene expression profiling
- support vector
- logistic regression
- cancer diagnosis
- gene selection
- decision trees
- colon cancer
- gene expression data
- gene expression
- high throughput
- gene expression datasets
- microarray data
- fold cross validation
- ensemble methods
- feature selection
- feature set
- gene expression profiles
- cancer datasets
- multi label
- dna microarray
- base classifiers
- machine learning algorithms
- multi class
- support vector machine
- microarray datasets
- classification accuracy
- high dimensional