Statistical quality assessment and outlier detection for liquid chromatography-mass spectrometry experiments.
Ole Schulz-TrieglaffEgidijus MachtejevasKnut ReinertHartmut SchlüterJoachim ThiemannKlaus UngerPublished in: BioData Min. (2009)
Keyphrases
- outlier detection
- mass spectrometry
- quality assessment
- high throughput
- image quality
- mass spectra
- fraud detection
- detection algorithm
- human visual system
- time of flight
- density ratio estimation
- knowledge discovery
- detecting outliers
- data streams
- detect outliers
- data quality
- drug discovery
- data mining
- visual quality
- database
- data sets
- microarray
- dimensionality reduction
- high resolution
- high quality
- image processing