Normalization of peak intensities in bottom-up MS-based proteomics using singular value decomposition.
Yuliya V. KarpievitchThomas TavernerJoshua N. AdkinsStephen J. CallisterGordon A. AndersonRichard D. SmithAlan R. DabneyPublished in: Bioinform. (2009)
Keyphrases
- singular value decomposition
- least squares
- singular values
- dimension reduction
- principal component analysis
- low rank
- dimensionality reduction
- reconstruction error
- latent semantic indexing
- low rank approximation
- latent semantic analysis
- data matrix
- factorization method
- mass spectrometry
- correlation matrix
- pattern recognition
- low rank matrices
- null space
- discriminant analysis
- missing data
- moving objects