Data reduction for spectral clustering to analyze high throughput flow cytometry data.
Habil ZareParisa ShooshtariArvind GuptaRyan Remy BrinkmanPublished in: BMC Bioinform. (2010)
Keyphrases
- high throughput
- spectral clustering
- data reduction
- microarray
- data compression
- clustering algorithm
- systems biology
- biological data
- clustering method
- data clustering
- high dimensionality
- preprocessing
- k means
- image segmentation
- classification rules
- knowledge discovery
- pairwise
- model selection
- mass spectrometry
- classification accuracy
- data analysis
- data mining
- data acquisition
- rough set theory
- bayesian networks
- real world
- gene expression
- data points
- singular value decomposition
- feature space
- pattern recognition
- compression algorithm
- machine learning
- real time