Gene selection and classification of microarray data using random forest.
Ramón Díaz-UriarteSara Alvarez de AndrésPublished in: BMC Bioinform. (2006)
Keyphrases
- cancer classification
- random forest
- gene selection
- microarray data
- cancer diagnosis
- microarray
- decision trees
- informative genes
- colon cancer
- relevant genes
- random forests
- gene expression data
- dna microarray
- gene expression
- feature ranking
- gene expression profiles
- feature selection
- feature set
- fold cross validation
- multi label
- dna microarray data
- microarray data analysis
- microarray analysis
- microarray classification
- small number of samples
- ovarian cancer
- support vector machine svm
- machine learning
- cluster analysis
- high dimensional
- selected genes
- feature extraction
- microarray datasets
- ensemble learning
- training set
- biologically relevant
- classification accuracy
- support vector machine
- text classification
- machine learning methods