  We developed a method called batch and drift correction method by White Noise
Normalization (WiNNbeta) to correct individual metabolites for batch effects
and drifts. This method tests for white noise properties to identify
metabolites in need of correction and corrects them by using fine-tuned
splines. To test the method performance we applied WiNNbeta to LC-MS data from
our metabolomic studies and computed CVs before and after WiNNbeta correction
in quality control samples.
