On the public citation graph

Optimizing the Use of Quality Control Samples for Signal Drift Correction in Large-Scale Urine Metabolic Profiling Studies

https://doi.org/10.1021/ac202733q

0 signed · 175 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/pmic.200800314openalex-snapshot

Increasing the mass accuracy of high‐resolution LC‐MS data using background ions – a case study on the LTQ‐Orbitrap

inferredcites →https://doi.org/10.1007/978-1-59745-255-7_6openalex-snapshot

Quantification of Proteins and Metabolites by Mass Spectrometry Without Isotopic Labeling

inferredcites →https://doi.org/10.1007/s11306-010-0207-xopenalex-snapshot

Lipidomic analysis of variation in response to simvastatin in the Cholesterol and Pharmacogenetics Study

inferredcites →https://doi.org/10.1016/j.drudis.2006.10.004openalex-snapshot

Systems biology, metabolic modelling and metabolomics in drug discovery and development

inferredcites →https://doi.org/10.1016/j.febslet.2008.07.029openalex-snapshot

Metabolomic profiling of Drosophila using liquid chromatography Fourier transform mass spectrometry

inferredcites →https://doi.org/10.1016/j.jchromb.2008.04.034openalex-snapshot

Global metabolic profiling analysis on human urine by UPLC–TOFMS: Issues and method validation in nutritional metabolomics

inferredcites →https://doi.org/10.1016/j.jchromb.2008.05.048openalex-snapshot

Evaluation of the repeatability of ultra-performance liquid chromatography–TOF-MS for global metabolic profiling of human urine samples

inferredcites →https://doi.org/10.1016/j.jclinepi.2009.10.001openalex-snapshot

Opening up the "Black Box": Metabolic phenotyping and metabolome-wide association studies in epidemiology

inferredcites →https://doi.org/10.1016/s0169-7439(98)00005-7openalex-snapshot

Determination of the representativity between two multidimensional data sets by a comparison of their structure

inferredcites →https://doi.org/10.1021/ac051437yopenalex-snapshot

XCMS: Processing Mass Spectrometry Data for Metabolite Profiling Using Nonlinear Peak Alignment, Matching, and Identification

inferredcites →https://doi.org/10.1021/ac051495jopenalex-snapshot

Large-Scale Human Metabolomics Studies: A Strategy for Data (Pre-) Processing and Validation

inferredcites →https://doi.org/10.1021/ac0517085openalex-snapshot

Assessment of Analytical Reproducibility of 1 H NMR Spectroscopy Based Metabonomics for Large-Scale Epidemiological Research: the INTERMAP Study

inferredcites →https://doi.org/10.1021/ac0519312openalex-snapshot

Scaling and Normalization Effects in NMR Spectroscopic Metabonomic Data Sets

inferredcites →https://doi.org/10.1021/ac101722eopenalex-snapshot

Optimization and Evaluation of Metabolite Extraction Protocols for Untargeted Metabolic Profiling of Liver Samples by UPLC-MS

inferredcites →https://doi.org/10.1021/ac2001109openalex-snapshot

Cross-Platform Comparison of Caenorhabditis elegans Tissue Extraction Strategies for Comprehensive Metabolome Coverage

inferredcites →https://doi.org/10.1021/ac8019366openalex-snapshot

Development of a Robust and Repeatable UPLC−MS Method for the Long-Term Metabolomic Study of Human Serum

inferredcites →https://doi.org/10.1021/ac900979eopenalex-snapshot

13 C Isotope-Labeled Metabolomes Allowing for Improved Compound Annotation and Relative Quantification in Liquid Chromatography-Mass Spectrometry-based Metabolomic Research

inferredcites →https://doi.org/10.1021/ac9011599openalex-snapshot

Development and Performance of a Gas Chromatography−Time-of-Flight Mass Spectrometry Analysis for Large-Scale Nontargeted Metabolomic Studies of Human Serum

inferredcites →https://doi.org/10.1021/ac902346aopenalex-snapshot

Equating, or Correction for Between-Block Effects with Application to Body Fluid LC−MS and NMR Metabolomics Data Sets

inferredcites →https://doi.org/10.1021/ac902678topenalex-snapshot

Discrimination of Wine Attributes by Metabolome Analysis

inferredcites →https://doi.org/10.1021/pr070164fopenalex-snapshot

The Mechanism of Galactosamine Toxicity Revisited; A Metabonomic Study

inferredcites →https://doi.org/10.1021/pr100798ropenalex-snapshot

Metabolome-Wide Association Study Identifies Multiple Biomarkers that Discriminate North and South Chinese Populations at Differing Risks of Cardiovascular Disease: INTERMAP Study

inferredcites →https://doi.org/10.1021/pr900499ropenalex-snapshot

Analytical Error Reduction Using Single Point Calibration for Accurate and Precise Metabolomic Phenotyping

inferredcites →https://doi.org/10.1021/pr901045copenalex-snapshot

Combined NMR and LC−DAD-MS Analysis Reveals Comprehensive Metabonomic Variations for Three Phenotypic Cultivars of Salvia Miltiorrhiza Bunge

inferredcites →https://doi.org/10.1021/tx0255774openalex-snapshot

Analytical Reproducibility in 1H NMR-Based Metabonomic Urinalysis

inferredcites →https://doi.org/10.1038/4551054aopenalex-snapshot

Metabonomics

inferredcites →https://doi.org/10.1038/nprot.2010.50openalex-snapshot

Global metabolic profiling procedures for urine using UPLC–MS

inferredcites →https://doi.org/10.1038/nprot.2011.335openalex-snapshot

Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry

inferredcites →https://doi.org/10.1039/b910482hopenalex-snapshot

Methodological considerations in the development of HPLC-MS methods for the analysis of rodent plasma for metabonomic studies

inferredcites →https://doi.org/10.1080/13547500410001668379openalex-snapshot

Metabonomics technologies and their applications in physiological monitoring, drug safety assessment and disease diagnosis

inferredcites →https://doi.org/10.1093/bfgp/eln052openalex-snapshot

Applications of mass spectrometry in metabolomic studies of animal model and invertebrate systems

inferredcites →https://doi.org/10.1093/nar/gkn810openalex-snapshot

HMDB: a knowledgebase for the human metabolome

inferredcites →https://doi.org/10.1186/1471-2105-10-61openalex-snapshot

A comparison on effects of normalisations in the detection of differentially expressed genes

inferredcites →https://doi.org/10.1186/1471-2105-8-93openalex-snapshot

Normalization method for metabolomics data using optimal selection of multiple internal standards

inferredcites →https://doi.org/10.1371/journal.pntd.0000904openalex-snapshot

Metabolomics to Unveil and Understand Phenotypic Diversity between Pathogen Populations

inferredcites →https://doi.org/10.2217/pgs.11.52openalex-snapshot

Prospective–Retrospective Biomarker Analysis for Regulatory Consideration: white Paper from the Industry Pharmacogenomics Working Group

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4764473openalex-extracted

Optimization of Metabolomics Pretreatment Method of Cholangiocarcinoma Cells Based on Ultrahigh Performance Liquid Chromatography Coupled with Mass Spectrometry

inferred← citeshttps://doi.org/10.2139/ssrn.4804410openalex-extracted

Optimization of Metabolomics Pretreatment Method of Cholangiocarcinoma Cells Based on Ultrahigh Performance Liquid Chromatography Coupled with Mass Spectrometry

inferred← citeshttps://doi.org/10.1002/9780470034590.emrstm1386openalex-snapshot

Experimental NMR Methods for Pharmaceutical Research and Development

inferred← citeshttps://doi.org/10.1002/9781118537282.ch10openalex-snapshot

Shaping the Future of Personalized Nutrition with Metabolomics

inferred← citeshttps://doi.org/10.1002/9783527833092.ch2openalex-snapshot

Data Analysis Strategies in CE–MS for Metabolomics

inferred← citeshttps://doi.org/10.1002/bit.27497openalex-snapshot

Metabolome responses of Enterococcus faecium to acid shock and nitrite stress

inferred← citeshttps://doi.org/10.1002/bmc.3864openalex-snapshot

The great importance of normalization of LC–MS data for highly‐accurate non‐targeted metabolomics

inferred← citeshttps://doi.org/10.1002/elps.201200605openalex-snapshot

Mammalian cell metabolomics: Experimental design and sample preparation

inferred← citeshttps://doi.org/10.1002/elps.201400604openalex-snapshot

Multiplexed separations for biomarker discovery in metabolomics: Elucidating adaptive responses to exercise training

inferred← citeshttps://doi.org/10.1002/etc.4381openalex-snapshot

Amitriptyline at an Environmentally Relevant Concentration Alters the Profile of Metabolites Beyond Monoamines in Gilt-Head Bream

inferred← citeshttps://doi.org/10.1002/jms.3629openalex-snapshot

Simple correction improving long‐term reproducibility of HPLC–MS

inferred← citeshttps://doi.org/10.1002/mas.21401openalex-snapshot

High resolution mass spectrometry based techniques at the crossroads of metabolic pathways

inferred← citeshttps://doi.org/10.1002/mnfr.201600150openalex-snapshot

High‐fiber and high‐protein diets shape different gut microbial communities, which ecologically behave similarly under stress conditions, as shown in a gastrointestinal simulator

inferred← citeshttps://doi.org/10.1002/mnfr.201800384openalex-snapshot

Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies

inferred← citeshttps://doi.org/10.1007/978-1-4471-6539-2_2openalex-snapshot

Metabonomics in Clinical Practice

inferred← citeshttps://doi.org/10.1007/978-1-4939-3079-1_17openalex-snapshot

Profiling of Yeast Lipids by Shotgun Lipidomics

inferred← citeshttps://doi.org/10.1007/978-1-4939-7862-5_5openalex-snapshot

Mapping Lipid Distribution in Rat Sciatic Nerve Using Imaging Mass Spectrometry

inferred← citeshttps://doi.org/10.1007/978-1-62703-577-4_20openalex-snapshot

Statistical Analysis of Metabolomics Data

inferred← citeshttps://doi.org/10.1007/978-3-030-51652-9_12openalex-snapshot

Methods of Lipidomic Analysis: Extraction, Derivatization, Separation, and Identification of Lipids

inferred← citeshttps://doi.org/10.1007/978-3-031-44256-8_7openalex-snapshot

Workflow for Knowledge Discovery from Metabolomic Data Using Chemometrics

inferred← citeshttps://doi.org/10.1007/978-3-319-47656-8_6openalex-snapshot

Preprocessing and Pretreatment of Metabolomics Data for Statistical Analysis

inferred← citeshttps://doi.org/10.1007/978-94-007-7864-1_55-1openalex-snapshot

Sample Handling and Automation: Drift

inferred← citeshttps://doi.org/10.1007/s00216-013-6856-7openalex-snapshot

Characterising and correcting batch variation in an automated direct infusion mass spectrometry (DIMS) metabolomics workflow

inferred← citeshttps://doi.org/10.1007/s00216-013-7296-0openalex-snapshot

Batch profiling calibration for robust NMR metabonomic data analysis

inferred← citeshttps://doi.org/10.1007/s00216-018-0947-4openalex-snapshot

MCEE: a data preprocessing approach for metabolic confounding effect elimination

inferred← citeshttps://doi.org/10.1007/s00216-019-01874-3openalex-snapshot

MCEE 2.0: more options and enhanced performance

inferred← citeshttps://doi.org/10.1007/s00216-020-02817-zopenalex-snapshot

Phospholipidomics of peripheral blood mononuclear cells (PBMCs): the tricky case of children with autism spectrum disorder (ASD) and their healthy siblings

inferred← citeshttps://doi.org/10.1007/s00394-018-1767-1openalex-snapshot

Metabolite profiles evaluated, according to sex, do not predict resting energy expenditure and lean body mass in healthy non-obese subjects

inferred← citeshttps://doi.org/10.1007/s11306-014-0712-4openalex-snapshot

Controlling the quality of metabolomics data: new strategies to get the best out of the QC sample

inferred← citeshttps://doi.org/10.1007/s11306-015-0818-3openalex-snapshot

Constrained randomization and multivariate effect projections improve information extraction and biomarker pattern discovery in metabolomics studies involving dependent samples

inferred← citeshttps://doi.org/10.1007/s11306-016-1015-8openalex-snapshot

Improved batch correction in untargeted MS-based metabolomics

inferred← citeshttps://doi.org/10.1007/s11306-016-1026-5openalex-snapshot

Normalization and integration of large-scale metabolomics data using support vector regression

inferred← citeshttps://doi.org/10.1007/s11306-016-1058-xopenalex-snapshot

LC–MS based global metabolite profiling: the necessity of high data quality

inferred← citeshttps://doi.org/10.1007/s11306-016-1124-4openalex-snapshot

Large-scale untargeted LC-MS metabolomics data correction using between-batch feature alignment and cluster-based within-batch signal intensity drift correction

inferred← citeshttps://doi.org/10.1007/s11306-022-01926-3openalex-snapshot

Quality assurance and quality control reporting in untargeted metabolic phenotyping: mQACC recommendations for analytical quality management

inferred← citeshttps://doi.org/10.1016/b978-0-12-386882-4.00010-4openalex-snapshot

Metabolomics

inferred← citeshttps://doi.org/10.1016/b978-0-12-394446-7.00008-xopenalex-snapshot

Gas Chromatography/Mass Spectrometry-Based Metabonomics

inferred← citeshttps://doi.org/10.1016/b978-0-12-409547-2.14593-7openalex-snapshot

Analysis of Metabolomics Data—A Chemometrics Perspective

inferred← citeshttps://doi.org/10.1016/b978-0-12-800344-2.00005-7openalex-snapshot

High-Throughput Metabolic Screening

inferred← citeshttps://doi.org/10.1016/b978-0-12-812293-8.00004-9openalex-snapshot

GC-MS-Based Metabolic Phenotyping

inferred← citeshttps://doi.org/10.1016/b978-0-12-818607-7.00008-6openalex-snapshot

Gas chromatography/mass spectrometry-based metabonomics

inferred← citeshttps://doi.org/10.1016/bs.coac.2018.06.002openalex-snapshot

Data Quality Assessment in Untargeted LC-MS Metabolomics

inferred← citeshttps://doi.org/10.1016/j.aca.2015.02.068openalex-snapshot

Lipidomic data analysis: Tutorial, practical guidelines and applications

inferred← citeshttps://doi.org/10.1016/j.aca.2018.04.055openalex-snapshot

Model selection for within-batch effect correction in UPLC-MS metabolomics using quality control - Support vector regression

inferred← citeshttps://doi.org/10.1016/j.aca.2018.08.042openalex-snapshot

Development of simultaneous targeted metabolite quantification and untargeted metabolomics strategy using dual-column liquid chromatography coupled with tandem mass spectrometry

inferred← citeshttps://doi.org/10.1016/j.aca.2025.344225openalex-snapshot

Analytical quality control in targeted lipidomics: Evaluating the performance of commercial plasma as a surrogate for pooled study samples

inferred← citeshttps://doi.org/10.1016/j.aca.2025.344571openalex-snapshot

QuantyFey: An open-source tool for targeted LC-MS quantification with integrated drift correction

inferred← citeshttps://doi.org/10.1016/j.atmosenv.2025.121749openalex-snapshot

The association between indoor VOCs exposure and lung function in adult asthma patients and the mediating effect of metabolites

inferred← citeshttps://doi.org/10.1016/j.bbalip.2017.02.008openalex-snapshot

Lipidomics, en route to accurate quantitation

inferred← citeshttps://doi.org/10.1016/j.chroma.2015.04.011openalex-snapshot

On the applicability of comprehensive two-dimensional gas chromatography combined with a fast-scanning quadrupole mass spectrometer for untargeted large-scale metabolomics

inferred← citeshttps://doi.org/10.1016/j.chroma.2016.01.078openalex-snapshot

Optimization of large-scale pseudotargeted metabolomics method based on liquid chromatography–mass spectrometry

inferred← citeshttps://doi.org/10.1016/j.chroma.2017.09.023openalex-snapshot

Evaluation of intensity drift correction strategies using MetaboDrift, a normalization tool for multi-batch metabolomics data

inferred← citeshttps://doi.org/10.1016/j.chroma.2018.07.019openalex-snapshot

Quantification of run order effect on chromatography - mass spectrometry profiling data

inferred← citeshttps://doi.org/10.1016/j.dmpk.2020.11.008openalex-snapshot

Identification of biomarkers to diagnose diseases and find adverse drug reactions by metabolomics

inferred← citeshttps://doi.org/10.1016/j.foodres.2023.112544openalex-snapshot

Accurate quantification of TAGs to identify adulteration of edible oils by ultra-high performance liquid chromatography-quadrupole-time of flight-tandem mass spectrometry

inferred← citeshttps://doi.org/10.1016/j.jchromb.2014.05.041openalex-snapshot

Construction of a metabolome library for transcription factor-related single gene mutants of Saccharomyces cerevisiae

inferred← citeshttps://doi.org/10.1016/j.jchromb.2015.10.045openalex-snapshot

Protocol for quality control in metabolic profiling of biological fluids by U(H)PLC-MS

inferred← citeshttps://doi.org/10.1016/j.jchromb.2020.122105openalex-snapshot

MS2 and LC libraries for untargeted metabolomics: Enhancing method development and identification confidence

inferred← citeshttps://doi.org/10.1016/j.jchromb.2022.123513openalex-snapshot

Evaluation and correction of injection order effects in LC-MS/MS based targeted metabolomics

inferred← citeshttps://doi.org/10.1016/j.jfca.2025.108692openalex-snapshot

Impact of industrial processing on the phospholipid profile of canned tomatoes (Solanum lycopersicum)

inferred← citeshttps://doi.org/10.1016/j.jff.2018.08.003openalex-snapshot

A fingerprinting metabolomic approach reveals deregulation of endogenous metabolites after the intake of a bioactive garlic supplement

inferred← citeshttps://doi.org/10.1016/j.jlr.2022.100218openalex-snapshot

Validation of a multiplexed and targeted lipidomics assay for accurate quantification of lipidomes

inferred← citeshttps://doi.org/10.1016/j.jnutbio.2015.12.015openalex-snapshot

Urinary metabolic profile predicts high-fat diet sensitivity in the C57Bl6/J mouse

inferred← citeshttps://doi.org/10.1016/j.jpba.2017.07.044openalex-snapshot

Quality assurance procedures for mass spectrometry untargeted metabolomics. a review

inferred← citeshttps://doi.org/10.1016/j.jprot.2020.104023openalex-snapshot

MMEASE: Online meta-analysis of metabolomic data by enhanced metabolite annotation, marker selection and enrichment analysis

inferred← citeshttps://doi.org/10.1016/j.plipres.2018.06.003openalex-snapshot

Contemporary lipidomic analytics: opportunities and pitfalls

inferred← citeshttps://doi.org/10.1016/j.scienta.2018.11.022openalex-snapshot

Metabolic analyses reveal growth characteristics of young tea shoots in spring

inferred← citeshttps://doi.org/10.1016/j.talanta.2020.121043openalex-snapshot

Rapid LA-REIMS and comprehensive UHPLC-HRMS for metabolic phenotyping of feces

inferred← citeshttps://doi.org/10.1016/j.trac.2019.115665openalex-snapshot

New advances in analytical methods for mass spectrometry-based large-scale metabolomics study

inferred← citeshttps://doi.org/10.1016/j.trac.2023.117009openalex-snapshot

Quantitative challenges and their bioinformatic solutions in mass spectrometry-based metabolomics

inferred← citeshttps://doi.org/10.1016/j.trsl.2017.06.005openalex-snapshot

The future perspective: metabolomics in laboratory medicine for inborn errors of metabolism

inferred← citeshttps://doi.org/10.1016/j.watres.2017.02.046openalex-snapshot

Metabolic responses of the growing Daphnia similis to chronic AgNPs exposure as revealed by GC-Q-TOF/MS and LC-Q-TOF/MS

inferred← citeshttps://doi.org/10.1021/ac302877xopenalex-snapshot

Batch Normalizer: A Fast Total Abundance Regression Calibration Method to Simultaneously Adjust Batch and Injection Order Effects in Liquid Chromatography/Time-of-Flight Mass Spectrometry-Based Metabolomics Data and Comparison with Current Calibration Methods

inferred← citeshttps://doi.org/10.1021/ac5011684openalex-snapshot

Development of a Universal Metabolome-Standard Method for Long-Term LC–MS Metabolome Profiling and Its Application for Bladder Cancer Urine-Metabolite-Biomarker Discovery

inferred← citeshttps://doi.org/10.1021/ac502439yopenalex-snapshot

Statistical Methods for Handling Unwanted Variation in Metabolomics Data

inferred← citeshttps://doi.org/10.1021/acs.analchem.0c00338openalex-snapshot

Reference Standardization for Quantification and Harmonization of Large-Scale Metabolomics

inferred← citeshttps://doi.org/10.1021/acs.analchem.4c04692openalex-snapshot

Simultaneous Profiling of Multiple Phosphorylated Metabolites in Typical Biological Matrices via Ion-Pair Reversed-Phase Ultrahigh-Performance Liquid Chromatography and Mass Spectrometry

inferred← citeshttps://doi.org/10.1021/acs.analchem.5b02688openalex-snapshot

Validated High Resolution Mass Spectrometry-Based Approach for Metabolomic Fingerprinting of the Human Gut Phenotype

inferred← citeshttps://doi.org/10.1021/acs.analchem.5b03912openalex-snapshot

A Novel Strategy for Large-Scale Metabolomics Study by Calibrating Gross and Systematic Errors in Gas Chromatography–Mass Spectrometry

inferred← citeshttps://doi.org/10.1021/acs.analchem.5c00567openalex-snapshot

Automated Integration and Quality Assessment of Chromatographic Peaks in LC–MS-Based Metabolomics and Lipidomics Using TARDIS

inferred← citeshttps://doi.org/10.1021/acs.analchem.5c06549openalex-snapshot

Challenges and Good Practices in Preprocessing and Normalization of Untargeted DNA Adductomics Data in Exposomics Research

inferred← citeshttps://doi.org/10.1021/acs.analchem.5c06841openalex-snapshot

Robust Metabolomics Data Normalization across Scales and Experimental Designs

inferred← citeshttps://doi.org/10.1021/acs.analchem.6b00038openalex-snapshot

Development of a Rapid Microbore Metabolic Profiling Ultraperformance Liquid Chromatography–Mass Spectrometry Approach for High-Throughput Phenotyping Studies

inferred← citeshttps://doi.org/10.1021/acs.analchem.6b00603openalex-snapshot

SMART: Statistical Metabolomics Analysis—An R Tool

inferred← citeshttps://doi.org/10.1021/acs.analchem.6b01481openalex-snapshot

Development and Application of Ultra-Performance Liquid Chromatography-TOF MS for Precision Large Scale Urinary Metabolic Phenotyping

inferred← citeshttps://doi.org/10.1021/acs.analchem.7b03590openalex-snapshot

High Throughput Screening Method for Systematic Surveillance of Drugs of Abuse by Multisegment Injection–Capillary Electrophoresis–Mass Spectrometry

inferred← citeshttps://doi.org/10.1021/acs.analchem.7b03606openalex-snapshot

Holistic Lipidomics of the Human Gut Phenotype Using Validated Ultra-High-Performance Liquid Chromatography Coupled to Hybrid Orbitrap Mass Spectrometry

inferred← citeshttps://doi.org/10.1021/acs.analchem.8b05592openalex-snapshot

Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data

inferred← citeshttps://doi.org/10.1021/acs.jafc.2c00738openalex-snapshot

Untargeted Metabolomic Liquid Chromatography High-Resolution Mass Spectrometry Fingerprinting of Apple Cultivars for the Identification of Biomarkers Related to Resistance to Rosy Apple Aphid

inferred← citeshttps://doi.org/10.1021/acs.jproteome.8b00351openalex-snapshot

Metabolic Signatures of Cystic Fibrosis Identified in Dried Blood Spots For Newborn Screening Without Carrier Identification

inferred← citeshttps://doi.org/10.1021/cr300484sopenalex-snapshot

New Advances in Separation Science for Metabolomics: Resolving Chemical Diversity in a Post-Genomic Era

inferred← citeshttps://doi.org/10.1021/pr400376eopenalex-snapshot

Metabolomics in Cerebrospinal Fluid of Patients with Amyotrophic Lateral Sclerosis: An Untargeted Approach via High-Resolution Mass Spectrometry

inferred← citeshttps://doi.org/10.1038/s41596-020-00475-0openalex-snapshot

The maternal serum metabolome by multisegment injection-capillary electrophoresis-mass spectrometry: a high-throughput platform and standardized data workflow for large-scale epidemiological studies

inferred← citeshttps://doi.org/10.1038/s41596-021-00579-1openalex-snapshot

Statistical analysis in metabolic phenotyping

inferred← citeshttps://doi.org/10.1038/s41598-021-84824-3openalex-snapshot

DBnorm as an R package for the comparison and selection of appropriate statistical methods for batch effect correction in metabolomic studies

inferred← citeshttps://doi.org/10.1038/s41598-025-24794-yopenalex-snapshot

Correction of gas chromatography–mass spectrometry long-term instrumental drift using quality control samples over 155 days

inferred← citeshttps://doi.org/10.1038/s43856-026-01539-0openalex-snapshot

Maternal metabolic signatures at early gestation associated with birth weight and neurodevelopment in early childhood

inferred← citeshttps://doi.org/10.1038/srep34136openalex-snapshot

Time-resolved metabolomics analysis of individual differences during the early stage of lipopolysaccharide-treated rats

inferred← citeshttps://doi.org/10.1039/9781788012737-00255openalex-snapshot

Multisegment Injection–Capillary Electrophoresis–Mass Spectrometry: A Robust Platform for High Throughput Metabolite Profiling with Quality Assurance

inferred← citeshttps://doi.org/10.1080/01652176.2023.2273891openalex-snapshot

Faecal metabolome responses to an altered dietary protein:carbohydrate ratio in adult dogs

inferred← citeshttps://doi.org/10.1088/1752-7163/aaa492openalex-snapshot

Instrumental drift removal in GC-MS data for breath analysis: the short-term and long-term temporal validation of putative biomarkers for COPD

inferred← citeshttps://doi.org/10.1088/1752-7163/ad7977openalex-snapshot

Generating pooled quality control samples of volatile organic compounds

inferred← citeshttps://doi.org/10.1101/2020.01.22.914051openalex-snapshot

Visualization and normalization of drift effect across batches in metabolome-wide association studies

inferred← citeshttps://doi.org/10.1109/bibmw.2012.6470209openalex-snapshot

Evaluation of normalization methods for analysis of LC-MS data

inferred← citeshttps://doi.org/10.1109/ismict.2014.6825211openalex-snapshot

Pooled sample-based workflow and software for medical data calibration

inferred← citeshttps://doi.org/10.1158/0008-5472.can-15-3199openalex-snapshot

Acetylcarnitine Is a Candidate Diagnostic and Prognostic Biomarker of Hepatocellular Carcinoma

inferred← citeshttps://doi.org/10.1186/1477-5956-11-s1-s13openalex-snapshot

Gaussian process regression model for normalization of LC-MS data using scan-level information

inferred← citeshttps://doi.org/10.1186/s12859-017-1501-7openalex-snapshot

Mixture model normalization for non-targeted gas chromatography/mass spectrometry metabolomics data

inferred← citeshttps://doi.org/10.1194/jlr.s087163openalex-snapshot

MS-based lipidomics of human blood plasma: a community-initiated position paper to develop accepted guidelines

inferred← citeshttps://doi.org/10.1371/journal.pone.0160555openalex-snapshot

Establishment of Protocols for Global Metabolomics by LC-MS for Biomarker Discovery

inferred← citeshttps://doi.org/10.1371/journal.pone.0183228openalex-snapshot

Metabolite patterns predicting sex and age in participants of the Karlsruhe Metabolomics and Nutrition (KarMeN) study

inferred← citeshttps://doi.org/10.1371/journal.pone.0205968openalex-snapshot

MetaboClust: Using interactive time-series cluster analysis to relate metabolomic data with perturbed pathways

inferred← citeshttps://doi.org/10.15583/jpchrom.2023.023openalex-snapshot

Fundamental Investigation of Signal Drift in Continuous Liquid Chromatography/High Resolution Mass Spectrometric Plasma Analysis Toward Global Metabolomics

inferred← citeshttps://doi.org/10.1586/14789450.2013.828947openalex-snapshot

Oncometabolomics in cancer research

inferred← citeshttps://doi.org/10.2147/jir.s325853openalex-snapshot

Plasma Metabolomic Profiles in Recovered COVID-19 Patients without Previous Underlying Diseases 3 Months After Discharge

inferred← citeshttps://doi.org/10.2533/chimia.2022.90openalex-snapshot

Challenges in ESI-MS-based Untargeted Metabolomics

inferred← citeshttps://doi.org/10.31083/j.rcm2407204openalex-snapshot

Progress in the Metabolomics of Acute Coronary Syndrome

inferred← citeshttps://doi.org/10.3389/fbioe.2014.00072openalex-snapshot

MetaDB a Data Processing Workflow in Untargeted MS-Based Metabolomics Experiments

inferred← citeshttps://doi.org/10.3389/fnagi.2020.00193openalex-snapshot

Serum and CSF Metabolites in Stroke-Free Patients Are Associated With Vascular Risk Factors and Cognitive Performance

inferred← citeshttps://doi.org/10.3389/fonc.2019.00825openalex-snapshot

Exploring Radiation Response in Two Head and Neck Squamous Carcinoma Cell Lines Through Metabolic Profiling

inferred← citeshttps://doi.org/10.3390/ani11051335openalex-snapshot

Bacillus Subtilis 29784 as a Feed Additive for Broilers Shifts the Intestinal Microbial Composition and Supports the Production of Hypoxanthine and Nicotinic Acid

inferred← citeshttps://doi.org/10.3390/foods10102388openalex-snapshot

Current State of Metabolomics Research in Meat Quality Analysis and Authentication

inferred← citeshttps://doi.org/10.3390/ijms23052726openalex-snapshot

Dynamics of Reactive Carbonyl Species in Pea Root Nodules in Response to Polyethylene Glycol (PEG)-Induced Osmotic Stress

inferred← citeshttps://doi.org/10.3390/ijms26051802openalex-snapshot

Malignant Transformed and Non-Transformed Oral Leukoplakias Are Metabolically Different

inferred← citeshttps://doi.org/10.3390/metabo10020051openalex-snapshot

Toward a Standardized Strategy of Clinical Metabolomics for the Advancement of Precision Medicine

inferred← citeshttps://doi.org/10.3390/metabo11010040openalex-snapshot

HPLC-HRMS Global Metabolomics Approach for the Diagnosis of “Olive Quick Decline Syndrome” Markers in Olive Trees Leaves

inferred← citeshttps://doi.org/10.3390/metabo11020108openalex-snapshot

Metabolic Fingerprinting of Feces from Calves, Subjected to Gram-Negative Bacterial Endotoxin

inferred← citeshttps://doi.org/10.3390/metabo11100685openalex-snapshot

Defining Acute Coronary Syndrome through Metabolomics

inferred← citeshttps://doi.org/10.3390/metabo13050665openalex-snapshot

Instrumental Drift in Untargeted Metabolomics: Optimizing Data Quality with Intrastudy QC Samples

inferred← citeshttps://doi.org/10.3390/metabo14100515openalex-snapshot

Global and Targeted Metabolomics for Revealing Metabolomic Alteration in Niemann-Pick Disease Type C Model Cells

inferred← citeshttps://doi.org/10.3390/molecules31152597openalex-snapshot

Signal-Corrected LC–MS/MS Approaches in Amino Acid and Biogenic Amine Profiling for Chemometric Characterization of Commercial Dark Chocolates According to Cocoa Content and Manufacturer

inferred← citeshttps://doi.org/10.3390/nu14142814openalex-snapshot

Lactoferrin Supplementation during Gestation and Lactation Is Efficient for Boosting Rat Pup Development

inferred← citeshttps://doi.org/10.34067/kid.0000000000000248openalex-snapshot

Metabolic Differences in Diabetic Kidney Disease Patients with Normoalbuminuria versus Moderately Increased Albuminuria

inferred← citeshttps://doi.org/10.4155/bio-2015-0010openalex-snapshot

Methods Used to Increase The Comprehensive Coverage of Urinary and Plasma Metabolomes by MS

inferred← citeshttps://doi.org/10.4155/bio-2016-0078openalex-snapshot

Systematic Evaluation of Serum and Plasma Collection on The Endogenous Metabolome

inferred← citeshttps://doi.org/10.4155/bio.12.204openalex-snapshot

The Importance of Experimental Design And Qc Samples in Large-Scale And Ms-Driven Untargeted Metabolomic Studies of Humans

inferred← citeshttps://doi.org/10.4155/bio.13.324openalex-snapshot

Evaluation of Horse Urine Sample Preparation Methods for Metabolomics Using LC Coupled to HRMS

inferred← citeshttps://doi.org/10.5702/massspectrometry.s0052openalex-snapshot

Technical Challenges in Mass Spectrometry-Based Metabolomics

inferred← citeshttps://doi.org/10.70675/6799b5e2z2cc7z487cz9535zebab32207096openalex-snapshot

Développement de nouveaux outils pour l’analyse métabolomique par spectrométrie de masse haute résolution : de l’acquisition de spectres MS/MS pour l’identification large-spectre de métabolites au marquage isotopique pour la quantification

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.