A kernel-based approach for detecting outliers of high-dimensional biological data.
Jung Hun OhJean GaoPublished in: BMC Bioinform. (2009)
Keyphrases
- biological data
- high dimensional
- detecting outliers
- microarray data
- outlier detection
- high throughput
- kernel function
- molecular biology
- feature space
- data analysis
- knowledge discovery
- biological networks
- statistical methods
- gene expression data
- dimensionality reduction
- systems biology
- similarity search
- microarray
- low dimensional
- biological sequences
- protein protein interactions
- huge volume of data
- gene expression
- data integration
- biological information
- high dimensionality
- data sources
- database
- learning algorithm
- feature selection
- data streams
- data points
- business intelligence
- nearest neighbor
- database systems
- low cost
- cluster analysis
- databases
- data processing
- data sets