FSR: feature set reduction for scalable and accurate multi-class cancer subtype classification based on copy number.
Gerard WongChristopher LeckieAdam KowalczykPublished in: Bioinform. (2012)
Keyphrases
- feature set
- multi class
- feature selection
- classification accuracy
- copy number
- feature reduction
- support vector machine
- feature vectors
- feature space
- multi class classifier
- binary classifiers
- multi class classification
- feature extraction
- random forest
- base classifiers
- multiple classes
- multi class boosting
- binary and multi class
- cost sensitive
- class labels
- machine learning
- error correcting output codes
- feature selection algorithms
- high dimensionality
- feature subset
- text categorization
- text classification
- image classification
- naive bayes
- support vector machine svm
- noise level
- model selection
- pairwise
- decision trees
- kernel function
- sequence data
- feature ranking
- support vector