OutlierD: an R package for outlier detection using quantile regression on mass spectrometry data.
HyungJun ChoYang-jin KimHee Jung JungSang-Won LeeJae Won LeePublished in: Bioinform. (2008)
Keyphrases
- outlier detection
- mass spectrometry data
- quantile regression
- least squares
- cross validated
- pattern classification
- high throughput
- detection algorithm
- data streams
- data mining
- mass spectrometry
- knowledge discovery
- density estimation
- cross validation
- machine learning
- logistic regression
- multi class
- learning algorithm
- data sets