ArticleOpen life sciences2023
Performance comparison of three scaling algorithms in NMR-based metabolomics analysis.
Article in Open life sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- "Effect of agroecological and conventional farming systems on the metabolomic profile of yellow and red maize assessed byFood chemistry: X · 2026Article
- Prediction of Soil Properties Using Vis-NIR Spectroscopy Combined with Machine Learning: A Review.Sensors (Basel, Switzerland) · 2025Review
- Changes in Metabolite Profiles of Chinese Soy Sauce at Different Time Durations of Fermentation Studied byMetabolites · 2024Article
- Applications of Solution NMR Spectroscopy in Quality Assessment and Authentication of Bovine Milk.Foods (Basel, Switzerland) · 2023Review
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Authors and funding
5 authors.
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Abstract
Unit variance (UV) scaling, mean centering (CTR) scaling, and Pareto (Par) scaling are three commonly used algorithms in the preprocessing of metabolomics data. Based on our NMR-based metabolomics studies, we found that the clustering identification performances of these three scaling methods were dramatically different as tested by the spectra data of 48 young athletes' urine samples, spleen tissue (from mice), serum (from mice), and cell (from
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