Feature extraction and dimensionality reduction for mass spectrometry data.
Yihui LiuPublished in: Comput. Biol. Medicine (2009)
Keyphrases
- mass spectrometry data
- feature extraction
- dimensionality reduction
- pattern classification
- high throughput
- principal component analysis
- manifold learning
- pattern recognition
- high dimensional data
- linear discriminant analysis
- cancer classification
- low dimensional
- feature selection
- high dimensionality
- discriminant analysis
- support vector machine svm
- image classification
- mass spectrometry
- feature vectors
- high dimensional
- face recognition
- feature space
- feature set
- principal components
- microarray
- neural network
- gene expression
- sparse representation
- low cost
- wavelet transform
- image processing
- real time
- kernel pca
- support vector
- biomarker discovery