ReviewBioinformatics and biology insights2020
Multi-omics Data Integration, Interpretation, and Its Application.
Review in Bioinformatics and biology insights, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05631119 (Biorepository of Biospecimen Samples in Matched Healthy Control Participants and Participants Diagnosed With Diabetic Kidney Disease, Chronic Kidney Disease, or Type 2 Diabetes), which is not on this map. Cited by 787 papers, 4 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.
Biorepository of Biospecimen Samples in Matched Healthy Control Participants and Participants Diagnosed With Diabetic Kidney Disease, Chronic Kidney Disease, or Type 2 Diabetes
Who cites it
787 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Computational paradigms for antimicrobial resistance prediction: integrating multi-omics, structural modeling, and foundation artificial intelligence systems.Briefings in bioinformatics · 2026Pooled it
- Machine learning for multi-omics data integration in crop improvement: a systematic review.BMC bioinformatics · 2026Pooled it
- Machine Learning for Predicting Stroke Risk Stratification Using Multiomics Data: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Application of multi-omics in systemic autoimmune rheumatic diseases: a bibliometric and visualization analysis.Frontiers in immunology · 2026Pooled it
- A nine-gene diagnostic model for IgA nephropathy based on multi-cohort machine learning: integrating gene expression and immunohistochemical validation.Renal failure · 2026Article
- From candidate genes to whole-genome approaches: current insights into the genetic architecture of ovine milk production and quality traits.Veterinary and animal science · 2026Review
- Biofilm-Mediated Persistence of Salmonella in Poultry Processing: A Comprehensive Review of Isolate Heterogeneity, Stress Adaptation, and Antimicrobial Resistance.Comprehensive reviews in food science and food safety · 2026Review
- AI-based multimodal integration of genomics and electronic health records.Nature reviews. Genetics · 2026Review
- Decoding epithelial-mesenchymal transitions with multi-omics.Nature reviews. Genetics · 2026Review
- Proteomic analyses in early brain development and neuropathological implications of fetal growth restriction.Neural regeneration research · 2026Article
- Microbiome-based diagnostic biomarkers in pancreatic ductal adenocarcinoma: Current evidence and translational challenges (Review).Oncology letters · 2026Review
- Decoding cancer with artificial intelligence: Transforming research, diagnosis, and therapy with future insights.Translational oncology · 2026Review
- Operationalizing Precision Medicine in Drug Development: Predictive Biomarkers, Companion Diagnostics, and Regulatory Pathways.Clinical pharmacology and therapeutics · 2026Review
- Reconstructing bovine disease trajectories through integrative multi-omics: molecular decision nodes, predictive biomarkers and precision intervention.Veterinary research communications · 2026Review
- Artificial intelligence in biomarker discovery for diseases: diagnostic and therapeutic prospects.Signal transduction and targeted therapy · 2026Review
- Article
- Multi-omics integration of transcriptomics and metabolomics with machine learning uncovers novel risk factors for Alzheimer's disease.Journal of Alzheimer's disease : JAD · 2026Article
- Article
- Integrating multi-omics technologies to decipher microbiome functions.Nature communications · 2026Review
- lagCI enables inference of temporal causal relationships from dense multi-omic time series.Briefings in bioinformatics · 2026Article
727 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To study complex biological processes holistically, it is imperative to take an integrative approach that combines multi-omics data to highlight the interrelationships of the involved biomolecules and their functions. With the advent of high-throughput techniques and availability of multi-omics data generated from a large set of samples, several promising tools and methods have been developed for data integration and interpretation. In this review, we collected the tools and methods that adopt integrative approach to analyze multiple omics data and summarized their ability to address applications such as disease subtyping, biomarker prediction, and deriving insights into the data. We provide the methodology, use-cases, and limitations of these tools; brief account of multi-omics data repositories and visualization portals; and challenges associated with multi-omics data integration.
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.