Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification?
Alexander R. StatnikovConstantin F. AliferisPublished in: AMIA (2007)
Keyphrases
- cancer classification
- random forests
- random forest
- microarray
- support vector
- gene expression profiling
- logistic regression
- cancer diagnosis
- gene selection
- decision trees
- colon cancer
- gene expression data
- high throughput
- gene expression
- gene expression datasets
- feature ranking
- feature set
- microarray data
- feature selection
- ensemble methods
- machine learning algorithms
- svm classifier
- dna microarray
- support vector machine
- gene expression profiles
- analysis of gene expression
- experimental conditions
- fold cross validation
- classification accuracy
- multi label
- loss function
- gene ontology
- base classifiers
- high dimensionality
- data mining
- data points
- machine learning