ArticleNucleic acids research2017
NOREVA: normalization and evaluation of MS-based metabolomics data.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 2 of them syntheses that pooled it.
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Who cites it
143 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software.Metabolomics : Official journal of the Metabolomic Society · 2023Pooled it
- Meta-analysis of metabolites involved in bioenergetic pathways reveals a pseudohypoxic state in Down syndrome.Molecular medicine (Cambridge, Mass.) · 2020Pooled it
- Rapamycin increases cerebral blood flow and modulates metabolic, inflammatory, and microbiome profiles in healthy middle-aged APOE4 carriers: A pilot single-arm trial.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Article
- Application of UPLC-MS/MS-Based Widely Targeted Metabolomics Reveals Metabolic Reprogramming During Post-Harvest Storage ofFoods (Basel, Switzerland) · 2026Article
- The TREM2 R47H variant is associated with liver-plasma-brain axis dyshomeostasis in the 5xFAD mouse model of Alzheimer's disease.Neurobiology of aging · 2026Article
- Short SCN5A Transcript Yields a NaV1.5 Fragment Influencing Cardiac Metabolism.Circulation research · 2026Article
- Loss of Kv8.2 in the Mouse Retina Is Associated With Altered One-Carbon Metabolism.Journal of neurochemistry · 2026Article
- Metabolic Analysis of Human Retinal Pigment Epithelium and Choroid Tissue in Aging and Macular Degeneration.bioRxiv : the preprint server for biology · 2026Article
- Brief pulses of high-level fluid shear stress enhance metastatic potential and rapidly alter the metabolism of cancer cells.Cell reports · 2026Article
- Metabolic Alterations Induced by a Seizure-Causing Sodium Channel Mutation and their Partial Normalization by Dietary α-Linolenic Acid in Drosophila.Neurochemical research · 2026Article
- An Olive Oil-Based High-Fat Diet Promotes Obesity-Driven Metastasis of Triple-Negative Breast Cancer.Cancer research · 2025Article
- Fetal programming by the parental microbiome of offspring behavior, and DNA methylation and gene expression within the hippocampus.Microbiome · 2025Article
- Untargeted Metabolomics Reveals Distinct Soil Metabolic Profiles Across Land Management Practices.Metabolites · 2025Article
- Effects of a Gain-of-Function Mutation in the Voltage-Gated Sodium Channel Gene, and of Dietary α-Linolenic Acid Supplementation, on Whole-Body Metabolism in Drosophila.Research square · 2025Article
- Thermogenic Adipose ADH5 Counteracts Age-related Metabolic Decline.bioRxiv : the preprint server for biology · 2025Article
- Somatic CRISPR tumorigenesis and multiomic analysis reveal a pentose phosphate pathway disruption vulnerability in MPNSTs.Science advances · 2025Article
- MassCube improves accuracy for metabolomics data processing from raw files to phenotype classifiers.Nature communications · 2025Article
- Effects of lithium on mortality and metabolite profiles in Drosophila lithium-inducible SLC6 transporter mutants.Environmental toxicology and pharmacology · 2025Article
- Epidemiologic study of waterborne and foodborne diseases in Brazil: mapping trends and challenges through a 22-year (2000-2021) historical series.Journal of water and health · 2025Article
- Ceramide-induced FGF13 impairs systemic metabolic health.Cell metabolism · 2025Article
83 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diverse forms of unwanted signal variations in mass spectrometry-based metabolomics data adversely affect the accuracies of metabolic profiling. A variety of normalization methods have been developed for addressing this problem. However, their performances vary greatly and depend heavily on the nature of the studied data. Moreover, given the complexity of the actual data, it is not feasible to assess the performance of methods by single criterion. We therefore developed NOREVA to enable performance evaluation of various normalization methods from multiple perspectives. NOREVA integrated five well-established criteria (each with a distinct underlying theory) to ensure more comprehensive evaluation than any single criterion. It provided the most complete set of the available normalization methods, with unique features of removing overall unwanted variations based on quality control metabolites and allowing quality control samples based correction sequentially followed by data normalization. The originality of NOREVA and the reliability of its algorithms were extensively validated by case studies on five benchmark datasets. In sum, NOREVA is distinguished for its capability of identifying the well performed normalization method by taking multiple criteria into consideration and can be an indispensable complement to other available tools. NOREVA can be freely accessed at http://server.idrb.cqu.edu.cn/noreva/.
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