ReviewMetabolites2020
Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources.
Review in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis 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
90 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Microbial bioleaching of rare earth elements from phosphate minerals: a biotechnology-driven systematic review of mechanisms, bioprocess determinants, and opportunities for sustainable recovery.BMC biotechnology · 2026Pooled it
- Review
- NMR Metabolomics in Veterinary Medicine: From Biomarker Discovery to Clinical Implementation.Veterinary sciences · 2026Review
- Integrated Metabolomic and Proteomic Analyses Reveal Differential Regulation of the Citrate Cycle and Pentose Phosphate Pathway byMetabolites · 2026Article
- Multi-level aggregation analysis of microbiome composition and host gene expression reveals associations with systemic and local immunity.Microbiology spectrum · 2026Article
- BLOBFISH: bipartite limited subnetworks from multiple observations using breadth-first search with constrained hops.Bioinformatics (Oxford, England) · 2026Article
- From known chemical space to unannotated metabolites: a cluster-guided retention-time driven framework for biologically informed annotation.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Article
- Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment.International urology and nephrology · 2026Review
- Specialized Metabolic Reprogramming in Plant Immunity: Biosynthetic Networks, Spatiotemporal Regulation, and Quantitative Defense.Plants (Basel, Switzerland) · 2026Review
- Artificial intelligence and multi-omics integration in liquid biopsy for genitourinary cancers: a systematic scoping review.International urology and nephrology · 2026Article
- Integrative multi-omics analysis reveals stress-specific molecular architectures in soybean under drought and rust infection.BMC genomics · 2026Article
- STRIKER: a spectral metadata repairing tool for expanding the comprehensiveness of spectral libraries.Journal of cheminformatics · 2026Article
- Function-based personalization of dietary fiber selection enhances gut microbial fermentation: a proof-of-concept crossover trial.Frontiers in nutrition · 2026Article
- Decoding plant volatile stress signals across scales: from molecular responses to ecosystem dynamics.Frontiers in plant science · 2026Review
- Article
- Applications of Metabolomics in the Development of Biomedicine and Biotechnology.Advances in experimental medicine and biology · 2026Review
- Multi-omic data integration and exploiting metabolic models using systems biology approach increase precision in subtyping and early diagnosis of cancer.Quantitative biology (Beijing, China) · 2025Article
- Artificial intelligence and systems biology analysis in stem cell research and therapeutics development.Stem cells translational medicine · 2025Review
- Innovative Approaches to EMT-Related Biomarker Identification in Breast Cancer: Multi-Omics and Machine Learning Methods.Biotech (Basel (Switzerland)) · 2025Review
30 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As researchers are increasingly able to collect data on a large scale from multiple clinical and omics modalities, multi-omics integration is becoming a critical component of metabolomics research. This introduces a need for increased understanding by the metabolomics researcher of computational and statistical analysis methods relevant to multi-omics studies. In this review, we discuss common types of analyses performed in multi-omics studies and the computational and statistical methods that can be used for each type of analysis. We pinpoint the caveats and considerations for analysis methods, including required parameters, sample size and data distribution requirements, sources of a priori knowledge, and techniques for the evaluation of model accuracy. Finally, for the types of analyses discussed, we provide examples of the applications of corresponding methods to clinical and basic research. We intend that our review may be used as a guide for metabolomics researchers to choose effective techniques for multi-omics analyses relevant to their field of study.
Indexed as
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.