ReviewComputational and structural biotechnology journal2013
Statistical methods for the analysis of high-throughput metabolomics data.
Review in Computational and structural biotechnology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
125 citing papers in PubMed, 3 syntheses or guidelines pooled it, 295 citations in OpenAlex.
- A priori sample size determination and power analysis in metabolic phenotyping and integrative metabolomics: an application framework based on a systematic review of literature.Metabolomics : Official journal of the Metabolomic Society · 2026Pooled it
- Metabolomics to reveal biomarkers and pathways of preterm birth: a systematic review and epidemiologic perspective.Metabolomics : Official journal of the Metabolomic Society · 2019Pooled it
- Pooled it
- Serum proteome profiles revealed dysregulated proteins and mechanisms associated with fibromyalgia syndrome in women.Scientific reports · 2020Trial
- Prospective serum metabolomic profiling of lethal prostate cancer.International journal of cancer · 2019Trial
- Lipidomic profiling reveals age-dependent changes in plasma membrane lipids that affect neural stem cell aging.Science advances · 2026Article
- The Maculalactone Biosynthetic Gene Cluster, a Cryptic Furanolide Pathway Revealed inACS synthetic biology · 2026Article
- Modulating Blood-Brain Barrier Metabolites of Broiler Chickens Through Dietary Flaxseed Oil.Biomolecules · 2026Article
- Which Reaction Conditions Work on Drug-Like Molecules? Lessons from 66,000 High-Throughput Experiments.ACS central science · 2026Article
- Non-invasive liquid biopsy based on metabolomic profiling improves diagnosis and early warning of severe acute pancreatitis.NPJ digital medicine · 2026Article
- Mass Spectrometry-Based Metabolomics in Pediatric Health and Disease.Metabolites · 2026Review
- Nontargeted Screening in Environmental Monitoring Programs: An Update.Advances in experimental medicine and biology · 2026Review
- Data Analysis in Extreme Resolution Mass Spectrometry Untargeted Metabolomics.Advances in experimental medicine and biology · 2026Review
- Comparative analysis of targeted metabolomic profiles reveals plasma metabolite differences across three Italian heavy pig breeds.Scientific reports · 2025Article
- Chrysin ameliorates pain through regulation of the serum metabolomics in the rats.The Korean journal of pain · 2025Article
- Disrupted fetal carbohydrate metabolism in children with autism spectrum disorder.Journal of neurodevelopmental disorders · 2025Article
- Polar Metabolite Profiles Distinguish Between Early and Severe Sub-Maintenance Nutritional States of Wild Bighorn Sheep.Metabolites · 2025Article
- Metabolic pathways in anal fistula: paving the way for innovative treatments.American journal of translational research · 2025Article
- Bayesian semiparametric inference in longitudinal metabolomics data.Scientific reports · 2024Article
- A review of emerging technologies, nutritional practices, and management strategies to improve intramuscular fat composition in beef cattle.Animal biotechnology · 2024Review
65 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolomics is a relatively new high-throughput technology that aims at measuring all endogenous metabolites within a biological sample in an unbiased fashion. The resulting metabolic profiles may be regarded as functional signatures of the physiological state, and have been shown to comprise effects of genetic regulation as well as environmental factors. This potential to connect genotypic to phenotypic information promises new insights and biomarkers for different research fields, including biomedical and pharmaceutical research. In the statistical analysis of metabolomics data, many techniques from other omics fields can be reused. However recently, a number of tools specific for metabolomics data have been developed as well. The focus of this mini review will be on recent advancements in the analysis of metabolomics data especially by utilizing Gaussian graphical models and independent component analysis.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.