| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7615764 | Journal of Chromatography B | 2017 | 33 Pages |
Abstract
Our data-driven approach based on measured metabolite levels and genetic associations as well as information from public resources can be used alone or together with methods utilizing spectral patterns as a complementary, automated and powerful method to characterize unknown metabolites.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Jan D. Quell, Werner Römisch-Margl, Marco Colombo, Jan Krumsiek, Anne M. Evans, Robert Mohney, Veikko Salomaa, Ulf de Faire, Leif C. Groop, Felix Agakov, Helen C. Looker, Paul McKeigue, Helen M. Colhoun, Gabi Kastenmüller,