ArticleScientific reports2016
Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.
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Who cites it
78 citing papers in PubMed.
- Plasma and Urinary Metabolomic Profiles Associated with the Salt Sensitivity of Blood Pressure in the Dietary Approaches to Stop Hypertension-Sodium Trial.The Journal of nutrition · 2026Trial
- Use of Metabolomic Profiling to Understand Variability in Adiposity Changes Following an Intentional Weight Loss Intervention in Older Adults.Nutrients · 2020Trial
- Using MetaboAnalyst 6.0 for exposomics data analysis-from LC-MS2 spectra processing to dose-response modeling and causal inference.Nature protocols · 2026Review
- A Reporting Guideline for Observational Studies in Metabolomic Epidemiology: Explanation and Elaboration of the Strobe-MetEpi Checklist.Research square · 2026Article
- Association of age-related macular degeneration with exposome related metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Untargeted Metabolomics Profiling of a PFAS-Exposed Flemish Population.Metabolites · 2026Article
- The Effects of Acorn Origin, Environmental Microbiomes and Local Adaptation on the Leaf Metabolome.Journal of chemical ecology · 2026Article
- Changes in the Metabolome of Different Tissues in Response to Streptozotocin Diabetes and Mildronate Exposure: A Metabolomic Assessment.Metabolites · 2026Article
- Mass Spectrometry as a Tool for Metabolomics in Cancer.Advances in experimental medicine and biology · 2026Review
- Non-targeted metabolomic profiling ofPeerJ · 2026Article
- Metabolomics Data Analysis with TIGER.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Untargeted Metabolomics Reveals Distinct Soil Metabolic Profiles Across Land Management Practices.Metabolites · 2025Article
- Correction of gas chromatography-mass spectrometry long-term instrumental drift using quality control samples over 155 days.Scientific reports · 2025Article
- Sex differences in fecal metabolic profiles of major depressive disorder: unveiling sex-specific metabolomic panel.BMC psychiatry · 2025Article
- Evaluation of normalization strategies for mass spectrometry-based multi-omics datasets.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Protection against APOE4-associated phenotypes with the longevity-promoting intervention 17α-estradiol in middle-aged male mice.Communications medicine · 2025Article
- The Restoration of Energy Pathways Indicates the Efficacy of Ketamine Treatment in Depression: A Metabolomic Analysis.CNS neuroscience & therapeutics · 2025Article
- Statistical analysis of feature-based molecular networking results from non-targeted metabolomics data.Nature protocols · 2025Article
- Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data.Diagnostics (Basel, Switzerland) · 2024Article
- Tumor-Promoted Changes in Pediatric Brain Histology Can Be Distinguished from Normal Parenchyma by Desorption Electrospray Ionization Mass Spectrometry Imaging.Biomedicines · 2024Article
18 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
Funding
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Abstract
In untargeted metabolomics analysis, several factors (e.g., unwanted experimental &biological variations and technical errors) may hamper the identification of differential metabolic features, which requires the data-driven normalization approaches before feature selection. So far, ≥16 normalization methods have been widely applied for processing the LC/MS based metabolomics data. However, the performance and the sample size dependence of those methods have not yet been exhaustively compared and no online tool for comparatively and comprehensively evaluating the performance of all 16 normalization methods has been provided. In this study, a comprehensive comparison on these methods was conducted. As a result, 16 methods were categorized into three groups based on their normalization performances across various sample sizes. The VSN, the Log Transformation and the PQN were identified as methods of the best normalization performance, while the Contrast consistently underperformed across all sub-datasets of different benchmark data. Moreover, an interactive web tool comprehensively evaluating the performance of 16 methods specifically for normalizing LC/MS based metabolomics data was constructed and hosted at http://server.idrb.cqu.edu.cn/MetaPre/. In summary, this study could serve as a useful guidance to the selection of suitable normalization methods in analyzing the LC/MS based metabolomics data.
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