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MetabolomicsNormalization techniques for PARAFAC modeling of urine metabolomics data
One of the body fluids often used in metabolomics studies is urine. The peak intensities of metabolites in urine are affected by the urine history of an individual resulting in dilution differences. This requires therefore normalization of the data to correct for such differences. Two normalization ...
2017-05-11 | MTBLS290 | MetaboLights
MetabolomicsSoftware tool for internal standard based normalization of lipids, and effect of data-processing strategies on resulting values

BACKGROUND: Lipidomics, the comprehensive measurement of lipids within a biological system or substrate, is an emerging field with significant potential for improving clinical diagnosis and our understanding of health and disease. While lipids diverse biological roles contribute ...

2022-05-17 | MTBLS710 | MetaboLights
MetabolomicsOsmolality-based normalization enhances statistical discrimination of untargeted metabolomic urine analysis: results from a comparative study

INTRODUCTION: Because of its ease of collection, urine is one of the most commonly used matrices for metabolomics studies. However, unlike other biofluids, urine exhibits tremendous variability that can introduce confounding inconsistency during result interpretation. Despite man...

2023-09-04 | MTBLS1765 | MetaboLights
MetabolomicsNormalization strategies for lipidome data in cell line panels & Distinct lipidomic profiles in breast cancer cell lines relate to proliferation and EMT phenotypes

Sample collection can significantly affect measurements of relative lipid concentrations in cell line panels, hiding intrinsic biological properties of interest between cell lines. Most quality control steps in lipidomic data analysis focus on controlling technical variation. Correcting for the t...

2025-08-07 | MTBLS9493 | MetaboLights
TranscriptomicsSupervised Lowess normalization of comparative genome hybridization data: application to lactococcal strain comparisons.
Background Array-based comparative genome hybridization (aCGH) is commonly used to determine the genomic content of bacterial strains. In aCGH data, systematic errors are comparable to those occurring in transcriptome data. However, especially for microbes, an additional source of variation exists: ...
ORGANISM(S): Lactococcus lactis subsp. cremoris MG1363 
2008-07-19 | E-GEOD-9039 | biostudies-arrayexpress
TranscriptomicsNormalization of Illumina Infinium whole-genome SNP data improves copy number estimates and allelic intensity ratios
Illumina Infinium whole genome genotyping (WGG) arrays are increasingly being applied in cancer genomics to study gene copy number alterations and allele-specific aberrations such as loss-of-heterozygosity (LOH). Methods developed for normalization of WGG arrays have mostly focused on diploid, norma...
ORGANISM(S): Homo sapiens 
2008-10-04 | E-GEOD-11977 | biostudies-arrayexpress
MetabolomicshRUV: Hierarchical approach to removal of unwanted variation for large-scale metabolomics data
Liquid chromatography-mass spectrometry-based metabolomics studies are increasingly applied to large population cohorts, which run for several weeks or even years in data acquisition. This inevitably introduces unwanted intra- and inter-batch variations over time that can overshadow true biological ...
2021-07-05 | MTBLS2483 | MetaboLights
MetabolomicsDirect infusion mass spectrometry metabolomics dataset: a benchmark for data processing and quality control
Direct-infusion mass spectrometry (DIMS) metabolomics is an important approach for characterising molecular responses of organisms to disease, drugs and the environment. Increasingly large-scale metabolomics studies are being conducted, necessitating improvements in both bioanalytical and computatio...
2022-05-16 | MTBLS79 | MetaboLights
MetabolomicsRat serum transcriptomic data

study investigated the anti-fatigue effect of the Panax ginseng–Astragali Radix (GGJ) herb pair, the core functional unit of Baoyuan Decoction, using a rat fatigue model induced by forced swimming. Serum samples were collected for untargeted metabolomics analysis by LC-MS/MS to profile differenti...

2026-06-30 | MTBLS14902 | MetaboLights
MetabolomicsA benchmark spike-in data set for biomarker identification in metabolomics
The development and the validation of innovative approaches for biomarker selection are of paramount importance in many -omics technologies. Unfortunately, the actual testing of new methods on real data is difficult, because in real data sets, one can never be sure about the “true” biomarkers. In th...
2013-10-24 | MTBLS59 | MetaboLights
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