Original paper
Visualization, Quantification, and Alignment of Spectral Drift in Population Scale Untargeted Metabolomics Data
Abstract
Untargeted liquid-chromatography-mass spectrometry (LC-MS)-based metabolomics analysis of human biospecimens has become among the most promising strategies for probing the underpinnings of human health and disease. Analysis of spectral data across population scale cohorts, however, is precluded by day-to-day nonlinear signal drifts in LC retention time or batch effects that complicate comparison of thousands of untargeted peaks. To date, there...
Paper Details
Title
Visualization, Quantification, and Alignment of Spectral Drift in Population Scale Untargeted Metabolomics Data
Published Date
Jan 20, 2017
Journal
Volume
89
Issue
3
Pages
1399 - 1404