Is Bagging Effective in the Classification of Small-Sample Genomic and Proteomic Data?
Thang T. VuUlisses M. Braga-NetoPublished in: EURASIP J. Bioinform. Syst. Biol. (2009)
Keyphrases
- small sample
- proteomic data
- high throughput
- sample size
- support vector machine
- decision trees
- machine learning
- feature selection
- classification accuracy
- spectral data
- high dimensionality
- training set
- mass spectrometry data
- support vector
- random forest
- pattern recognition
- image classification
- cross validation
- high dimensional
- feature space
- pattern classification
- mass spectrometry
- unsupervised learning
- ls svm
- biological data
- svm classifier
- support vector machine svm
- nearest neighbor
- feature extraction
- face recognition
- learning algorithm