Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics

Differences in levels of phosphatidylinositols in healthy and stable Coronary Artery Disease subjects revealed by HILIC-MRM method with SERRF normalization

(2021) Yue Huang et al.   PLoS One

A metabolome atlas of the aging mouse brain

(2021) Jun Ding et al.   Nature Communications

Development of a high-coverage metabolome relative quantitative method for large-scale sample analysis

(2020) Zhi Zhou et al.   ANALYTICA CHIMICA ACTA

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

(2020) Nguyen Phuoc Long et al.   Metabolites

NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics Data

(2020) Zhiwei Rong et al.   ANALYTICAL CHEMISTRY

Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women

(2020) Liang Liang et al.   CELL

Evaluating and minimizing batch effects in metabolomics

(2020) Wei Han et al.   MASS SPECTROMETRY REVIEWS

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

(2019) Sili Fan et al.   ANALYTICAL CHEMISTRY

WaveICA: A novel algorithm to remove batch effects for large-scale untargeted metabolomics data based on wavelet analysis

(2019) Kui Deng et al.   ANALYTICA CHIMICA ACTA

Guidelines for Selection of Internal Standard-Based Normalization Strategies in Untargeted Lipidomic Profiling by LC-HR-MS/MS

(2019) Bernhard Drotleff et al.   ANALYTICAL CHEMISTRY

Software tool for internal standard based normalization of lipids, and effect of data-processing strategies on resulting values

(2019) Jeremy P. Koelmel et al.   BMC BIOINFORMATICS

Unbiased data analytic strategies to improve biomarker discovery in precision medicine

(2019) Saifur R. Khan et al.   DRUG DISCOVERY TODAY

Development and validation of a ceramide- and phospholipid-based cardiovascular risk estimation score for coronary artery disease patients

(2019) Mika Hilvo et al.   EUROPEAN HEART JOURNAL

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

(2019) Xinyu Liu et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

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

(2018) Ángel Sánchez-Illana et al.   ANALYTICA CHIMICA ACTA

Best-Matched Internal Standard Normalization in Liquid Chromatography–Mass Spectrometry Metabolomics Applied to Environmental Samples

(2018) Angela K. Boysen et al.   ANALYTICAL CHEMISTRY

Quality assurance procedures for mass spectrometry untargeted metabolomics. a review

(2018) Danuta Dudzik et al.   JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS

Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies

(2018) David Broadhurst et al.   Metabolomics

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

(2018) Yang Gao et al.   ANALYTICA CHIMICA ACTA

Identifying the Best Marker Combination in CEA, CA125, CY211, NSE, and SCC for Lung Cancer Screening by Combining ROC Curve and Logistic Regression Analyses: Is It Feasible?

(2018) Qixian Yang et al.   DISEASE MARKERS

Quality assurance and quality control processes: summary of a metabolomics community questionnaire

(2017) Warwick B. Dunn et al.   Metabolomics

MetaboQC: A tool for correcting untargeted metabolomics data with mass spectrometry detection using quality controls

(2017) Mónica Calderón-Santiago et al.   TALANTA

Matrix effect management in liquid chromatography mass spectrometry: the internal standard normalized matrix effect

(2017) Amedeo De Nicolò et al.   Bioanalysis

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

(2016) Xiaotao Shen et al.   Metabolomics

Effects of pre-analytical processes on blood samples used in metabolomics studies

(2015) Peiyuan Yin et al.   ANALYTICAL AND BIOANALYTICAL CHEMISTRY

Statistical Methods for Handling Unwanted Variation in Metabolomics Data

(2015) Alysha M. De Livera et al.   ANALYTICAL CHEMISTRY

MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis

(2015) Hiroshi Tsugawa et al.   NATURE METHODS

Development of a metabolomic approach based on urine samples and direct infusion mass spectrometry

(2014) Raúl González-Domínguez et al.   ANALYTICAL BIOCHEMISTRY

Matrix effect and methods for its elimination in bioanalytical methods using chromatography-mass spectrometry

(2014) D. V. Yaroshenko et al.   JOURNAL OF ANALYTICAL CHEMISTRY

PLS-DA for compositional data with application to metabolomics

(2014) Alžběta Kalivodová et al.   JOURNAL OF CHEMOMETRICS

A cross-platform toolkit for mass spectrometry and proteomics

(2012) Matthew C Chambers et al.   NATURE BIOTECHNOLOGY

CAMERA: An Integrated Strategy for Compound Spectra Extraction and Annotation of Liquid Chromatography/Mass Spectrometry Data Sets

(2011) Carsten Kuhl et al.   ANALYTICAL CHEMISTRY

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

(2011) Warwick B Dunn et al.   Nature Protocols

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

(2009) Frans M. van der Kloet et al.   JOURNAL OF PROTEOME RESEARCH

fdrtool: a versatile R package for estimating local and tail area-based false discovery rates

(2008) K. Strimmer   BIOINFORMATICS