ArticleScientific reports2021
DBnorm as an R package for the comparison and selection of appropriate statistical methods for batch effect correction in metabolomic studies.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 29 citations in OpenAlex.
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- Psychotropic drug-induced weight gain and untargeted metabolomics: machine learning-driven results from a prospective cohort study.Translational psychiatry · 2026Article
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- Ultra-Processed Foods and the Cardiovascular-Kidney-Metabolic Continuum: Integrating Epidemiological, Multi-Omics, and Translational Evidence.Nutrients · 2026Review
- Non-invasive hair metabolome analysis reveals GERD and thyroid dysfunction in pulmonary fibrosis patients.Metabolism open · 2025Article
- Serum levels of C-terminal peptides of alpha-1 antitrypsin as potential biomarkers in non-small cell lung cancer.Translational lung cancer research · 2025Article
- Association of Ultraprocessed Foods Intake with Untargeted Metabolomics Profiles in Adolescents and Young Adults in the DONALD Cohort Study.The Journal of nutrition · 2024Article
- Multiomic analysis of familial adenomatous polyposis reveals molecular pathways associated with early tumorigenesis.Nature cancer · 2024Article
- Metabolomics signatures of sweetened beverages and added sugar are related to anthropometric measures of adiposity in young individuals: results from a cohort study.The American journal of clinical nutrition · 2024Article
- A phase IIb randomized placebo-controlled trial testing the effect of MAG-EPA long-chain omega-3 fatty acid dietary supplement on prostate cancer proliferation.Communications medicine · 2024Article
- Metabolic diversity of human macrophages: potential influence onInfection and immunity · 2024Article
- High-Resolution Mass Spectrometry-Based Metabolomics for Increased Grape Juice Metabolite Coverage.Foods (Basel, Switzerland) · 2023Article
- Dynamic lipidome alterations associated with human health, disease and ageing.Nature metabolism · 2023Article
- Article
- Plasma Metabolomic Profiling Reveals Preliminary Biomarkers of Pork Quality Based on pH Value.Foods (Basel, Switzerland) · 2022Article
- Normalizing and Correcting Variable and Complex LC-MS Metabolomic Data with the R Package pseudoDrift.Metabolites · 2022Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a powerful phenotyping technology, metabolomics provides new opportunities in biomarker discovery through metabolome-wide association studies (MWAS) and the identification of metabolites having a regulatory effect in various biological processes. While mass spectrometry-based (MS) metabolomics assays are endowed with high throughput and sensitivity, MWAS are doomed to long-term data acquisition generating an overtime-analytical signal drift that can hinder the uncovering of real biologically relevant changes. We developed "dbnorm", a package in the R environment, which allows for an easy comparison of the model performance of advanced statistical tools commonly used in metabolomics to remove batch effects from large metabolomics datasets. "dbnorm" integrates advanced statistical tools to inspect the dataset structure not only at the macroscopic (sample batches) scale, but also at the microscopic (metabolic features) level. To compare the model performance on data correction, "dbnorm" assigns a score that help users identify the best fitting model for each dataset. In this study, we applied "dbnorm" to two large-scale metabolomics datasets as a proof of concept. We demonstrate that "dbnorm" allows for the accurate selection of the most appropriate statistical tool to efficiently remove the overtime signal drift and to focus on the relevant biological components of complex datasets.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.