Sort   by:  
 Page size 
MetabolomicsUnraveling the Heterogeneity of Hyperuricemia Using Untargeted Metabolomics and Statistical Modeling

Background. Hyperuricemia is the second most prevalent metabolic disorder globally and exhibits pronounced heterogeneity in clinical practice. Only about 10% of individuals with asymptomatic hyperuricemia (HUA) progress to gout, yet the lack of specific biomarkers and precise therapeutic targets ...

2025-10-05 | MTBLS13094 | 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
MetabolomicsComparison of popular enrichment methods for untargeted in vitro metabolomics.

Introduction

Untargeted metabolomics is a popular method by which researchers measure a large portion of the metabolites present in a biological system at once. This approach usually results in complex data sets containing tens to hundreds of thousands of observations whi...

2025-08-11 | MTBLS12332 | MetaboLights
MetabolomicsEvaluation of sample preparation methods for NMR-based metabolomics of cow milk
The quality of milk metabolome analyzed by nuclear magnetic resonance (NMR) is greatly influenced by the way samples are prepared. Although this analytical method is increasingly used to study milk metabolites, a thorough examination of available sample preparation protocols for milk has not been re...
2019-06-13 | MTBLS623 | MetaboLights
MetabolomicsA statistical analysis of the effects of urease pre-treatment on the measurement of the urinary metabolome by gas chromatography–mass spectrometry
Urease pre-treatment of urine has been utilized since the early 1960s to remove high levels of urea from samples prior to further processing and analysis by gas chromatography–mass spectrometry (GC–MS). Aside from the obvious depletion or elimination of urea, the effect, if any, of urease pre-treatm...
2014-05-21 | MTBLS71 | MetaboLights
ProteomicsOptimization of statistical methods impact on quantitative proteomics data
As tools for quantitative label-free mass spectrometry (MS) rapidly develop a consensus about the best practices is not apparent. In the work described here we compared five popular statistical methods for detecting differential protein expression from quantitative MS data using both controlled expe...
ORGANISM(S): Candida albicans (Yeast) 
2020-01-13 | PXD002099 | Pride
Reproducibility Statistical methods Proteomics Quantitative analysis Rots Label-free mass spectrometry 
MetabolomicsAnalysis of the Effects of Bacillus velezensis HJ-16 Inoculation on Tobacco Leaves Based on Multi-omics Methods

In this study, a strain isolated from the surface of flue-cured tobacco leaves, identified as Bacillus velezensis HJ-16, was applied in the solid-state fermentation of tobacco leaves. This strain, known for producing thermally stable enzymes, including amylase, cellulase, and protease, s...

2024-10-23 | MTBLS11080 | MetaboLights
TranscriptomicsNovel Rank-Based Statistical Methods Reveal MicroRNAs with Differential Expression in Multiple Cancer Types
The data collected in this study consisted of 32 paired samples of cancerous and normal origins from 14 different patients and 8 different cancer types. Each pair of samples was taken from different parts of the same tissue in the same patient - one collected and extracted from the tumor and one col...
ORGANISM(S): Homo sapiens 
2010-05-18 | E-GEOD-14985 | biostudies-arrayexpress
ProteomicsStatistical models for the analysis of isobaric Tags multiplexed quantitative proteomics
ABSTRACT: Mass spectrometry is being used to identify protein biomarkers that can facilitate development of drug treatment. Mass spectrometry based proteomics results in complex proteomic data that is hierarchical in nature often with small sample size studies. Generalized linear models (GLM) is th...
ORGANISM(S): Homo sapiens (Human) Escherichia coli 
2017-07-28 | PXD005486 | Pride
Statistical models : proteomics Tmt Mixed models Biomarkers 
ProteomicsProteomics of cell labeling through PATCH treatment
Cell labeling methods and statistical methods are described in the article Method
ORGANISM(S): Mus musculus (Mouse) 
2025-07-30 | PXD065379 | Pride
4t1 
Sort   by:  
 Page size