SVM-RFE based feature selection for tandem mass spectrum quality assessment.
Jiarui DingJin-Hong ShiFang-Xiang WuPublished in: Int. J. Data Min. Bioinform. (2011)
Keyphrases
- quality assessment
- svm rfe
- tandem mass
- feature selection
- feature selection algorithms
- tandem mass spectra
- recursive feature elimination
- method for feature selection
- image quality
- human visual system
- text categorization
- data quality
- support vector machine
- image quality assessment
- selected features
- classification accuracy
- decision boundary
- machine learning
- ms ms
- feature space
- dimensionality reduction
- cancer diagnosis
- classification models
- gene selection
- feature set
- microarray data
- high dimensionality
- terms of classification accuracy
- gene expression data
- support vector
- feature extraction
- visual quality
- query processing
- feature subset
- fold cross validation
- data sets
- database systems