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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 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
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
MetabolomicsPlasma Metabolome Normalization in Rheumatoid Arthritis following initiation of Methotrexate and the Identification of Metabolic Biomarkers of Efficacy
Not available
ORGANISM(S): Homo sapiens 
ST001949 | MetabolomicsWorkbench
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
TranscriptomicsImpact of normalization on Agilent miRNA microarray expression profiling
Profiling miRNA levels in cells with miRNA-microarrays is becoming a widely used technique. Although normalization methods for mRNA gene expression arrays are well established, miRNA array normalization has so far not been investigated in detail. In this study we investigate the impact of normalizat...
ORGANISM(S): Homo sapiens 
2009-02-16 | E-GEOD-12085 | biostudies-arrayexpress
ProteomicsA proteomics approach to the protein normalization problem
The approach suggested here can be used more widely to determine the suitability of proteins or sets of proteins as loading and normalization controls for any biological system. As we have shown here, historically selected ‘household proteins’ may not be the most suitable for this task for technical...
ORGANISM(S): Mus musculus (Mouse) Homo sapiens (Human) 
2016-06-20 | PXD003422 | Pride
Data normalization 
ProteomicsA generic normalization method for proper quantification in untargeted proteomics screening
The label-free quantitative mass spectrometry methods, in particular the SWATH-MS approach, have gained popularity and became a powerful technique for comparison of large datasets. In the present work, it is introduced the use of recombinant proteins as internal standards for untargeted label-free m...
ORGANISM(S): Aequorea victoria Homo sapiens (Human) Escherichia coli Rattus norvegicus (Rat) 
2019-08-19 | PXD009068 | Pride
Internal standard Data normalization Biofluids Proteomics screening Swath-ms 
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