ArticleFrontiers in molecular biosciences2015
A data preprocessing strategy for metabolomics to reduce the mask effect in data analysis.
Article in Frontiers in molecular biosciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
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Who cites it
71 citing papers in PubMed.
- The association of Chlamydia trachomatis and Mycoplasma genitalium infection with the vaginal metabolome.Scientific reports · 2020Trial
- Inflammatory responses relate to distinct bronchoalveolar lavage lipidome in community-acquired pneumonia patients: a pilot study.Respiratory research · 2019Trial
- Multi-Omics Integration to Investigate the Effects of Variety and Origin on Volatile and Non-Volatile Metabolites in Melons.Foods (Basel, Switzerland) · 2026Article
- Exhaled breath volatiles for asthma diagnosis: discovery and validation in untreated but symptomatic patients.Scientific reports · 2026Article
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- Clinical deep phenotyping of treatment response in schizophrenia (CDP-STAR): design and methodology of a prospective multimodal observational study.European archives of psychiatry and clinical neuroscience · 2026Observational
- Proteomic profiling of brain organoids and extracellular vesicles identifies early Alzheimer's disease biomarkers and drug response heterogeneity.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Identification of plasma biomarkers in lipid metabolism for accurate prediction of Alzheimer's disease.Translational psychiatry · 2026Article
- Ectopic expression of cytosolic DHODH uncouples de novo pyrimidine biosynthesis from mitochondrial electron transport.Nature metabolism · 2026Article
- Constitutive Metabolite Profiling of European and Asian Fraxinus with Varying Susceptibility to Ash Dieback.Journal of chemical ecology · 2026Article
- Metabolomic profiling reveals alterations in Candida pathophysiology and host interactions during primary oral candidiasis and following antifungal treatment.Scientific reports · 2026Article
- Urinary metabolomic profiling in 22q11.2 deletion syndrome reveals microbial and mitochondrial signatures related to autism and psychosis risk.PCN reports : psychiatry and clinical neurosciences · 2025Article
- The polyunsaturated fatty acid and oxylipin plasma signature of aneurysmal subarachnoid haemorrhage, case-control study.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Article
- Low Metabolic Variation in Environmentally Diverse Natural Populations of Temperate Lime Trees (Metabolites · 2025Article
- The Connection Between Lipid Metabolism in the Heart and Liver of Wuzhishan Pigs.Biomolecules · 2025Article
- Identification of metabolites associated with capecitabine‑induced hand‑foot syndrome using untargeted metabolomics in patients with cancer.Molecular medicine reports · 2025Article
- Improved quantitative accuracy in data-independent acquisition proteomics via retention time boundary imputation.bioRxiv : the preprint server for biology · 2025Article
- Chrysin ameliorates pain through regulation of the serum metabolomics in the rats.The Korean journal of pain · 2025Article
- Cerebrospinal fluid metabolomics in autistic regression reveals dysregulation of sphingolipids and decreased β-hydroxybutyrate.EBioMedicine · 2025Article
11 more citing papers are in PubMed but not listed here.
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5 authors.
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Abstract
HighlightsDeveloped a data preprocessing strategy to cope with missing values and mask effects in data analysis from high variation of abundant metabolites.A new method- 'x-VAST' was developed to amend the measurement deviation enlargement.Applying the above strategy, several low abundant masked differential metabolites were rescued. Metabolomics is a booming research field. Its success highly relies on the discovery of differential metabolites by comparing different data sets (for example, patients vs. controls). One of the challenges is that differences of the low abundant metabolites between groups are often masked by the high variation of abundant metabolites. In order to solve this challenge, a novel data preprocessing strategy consisting of three steps was proposed in this study. In step 1, a 'modified 80%' rule was used to reduce effect of missing values; in step 2, unit-variance and Pareto scaling methods were used to reduce the mask effect from the abundant metabolites. In step 3, in order to fix the adverse effect of scaling, stability information of the variables deduced from intensity information and the class information, was used to assign suitable weights to the variables. When applying to an LC/MS based metabolomics dataset from chronic hepatitis B patients study and two simulated datasets, the mask effect was found to be partially eliminated and several new low abundant differential metabolites were rescued.
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