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0504336 - FGÚ 2020 RIV US eng J - Journal Article
Fan, S. - Kind, T. - Čajka, Tomáš - Hazen, S.L. - Tang, W.H.W. - Kaddurah-Daouk, R. - Irvin, M. R. - Arnett, D. K. - Barupal, D. K. - Fiehn, O.
Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data.
Analytical Chemistry. Roč. 91, č. 5 (2019), s. 3590-3596. ISSN 0003-2700. E-ISSN 1520-6882
Institutional support: RVO:67985823
Keywords : lipidomics * quality control * data normalization * cohort * lipids
OECD category: Analytical chemistry
Impact factor: 6.785, year: 2019
Method of publishing: Limited access
https://pubs.acs.org/doi/10.1021/acs.analchem.8b05592
Permanent Link: http://hdl.handle.net/11104/0295994