ReviewBiology2024
Integrating Molecular Perspectives: Strategies for Comprehensive Multi-Omics Integrative Data Analysis and Machine Learning Applications in Transcriptomics, Proteomics, and Metabolomics.
Review in Biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 2 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
124 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Comparative phytochemical profiling and meta‑analysis of public transcriptomic datasets uncover species‑ and organ‑specific patterns of flavonoid and phenolic biosynthesis in Ferula species.BMC plant biology · 2026Pooled it
- Artificial intelligence at the gut-oral microbiota frontier: mapping machine learning tools for gastric cancer risk prediction.Biomedical engineering online · 2025Pooled it
- Metabolic Effects of Healing Touch During Cervical Cancer Treatment: An Exploratory Analysis.Integrative cancer therapiesTrial
- Metabolic reprogramming in plant defense: linking signaling networks to metabolomics-driven insights.Plant signaling & behavior · 2026Review
- Emerging strategies and innovations in circular RNA synthesis.Molecular therapy. Nucleic acids · 2026Review
- Decoding the cancer microbiome: multi-omics, AI, and translational opportunities.Genome biology · 2026Review
- Insights into the Complexities of Pharmacotherapy Parameters in Artificial Intelligence Models for Drug Selection, Precision Personalised Medicine and Optimal Therapeutic Outcomes.Pharmaceutics · 2026Review
- Dietary Bioactive Compounds: Cellular Sensory Pathways, Microbial Partners, and Clinical Realities.Nutrients · 2026Review
- Harnessing Probiotic LAB and Bacteriocins for Clean-Label Food Processing and Biopreservation: Omics, Molecular Innovations and Industrial Applications.Probiotics and antimicrobial proteins · 2026Review
- Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Integrated transcriptomic and proteomic profiling reveals alteration of oxidative phosphorylation in omega-3 polyunsaturated fatty acid-mediated inhibition of Candida albicans biofilm formation.BMC microbiology · 2026Article
- Artificial Intelligence-Powered Histopathology in Stem Cell Research: Bridging Morphology, Function, and Omics.Current issues in molecular biology · 2026Review
- Current Applications and Future Prospects of High-ThroughputAnimals : an open access journal from MDPI · 2026Review
- Multi-Omics-Guided Design and Safety Engineering of Nucleic Acid Therapeutics: From Molecular Perturbation to Predictive Toxicology and Precision Translation.Chemical biology & drug design · 2026Review
- Targeting Neurodegeneration With Naringenin: Mechanistic Perspectives and Therapeutic Implications.Molecular nutrition & food research · 2026Review
- Gut Microbiome Dysbiosis in Atopic Dermatitis: Pathogenic Mechanisms, Gut-Skin Axis Disruption, and Emerging Microbiota-Targeted Therapies.Biomedicines · 2026Review
- FTIR-ATR monitoring of growth-phase-dependent spectral responses ofRSC advances · 2026Article
- Integrated Transcriptomic and Proteomic Analysis RevealsAnimals : an open access journal from MDPI · 2026Article
- Molecular Regulation of Pyroptosis in Alzheimer's Disease: Linking Neuroinflammation, Cell Death, and Therapeutic Targeting.Molecular neurobiology · 2026Review
- The molecular ICU: a primer on omics, informatics and the future of precision critical care.Critical care (London, England) · 2026Review
64 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the advent of high-throughput technologies, the field of omics has made significant strides in characterizing biological systems at various levels of complexity. Transcriptomics, proteomics, and metabolomics are the three most widely used omics technologies, each providing unique insights into different layers of a biological system. However, analyzing each omics data set separately may not provide a comprehensive understanding of the subject under study. Therefore, integrating multi-omics data has become increasingly important in bioinformatics research. In this article, we review strategies for integrating transcriptomics, proteomics, and metabolomics data, including co-expression analysis, metabolite-gene networks, constraint-based models, pathway enrichment analysis, and interactome analysis. We discuss combined omics integration approaches, correlation-based strategies, and machine learning techniques that utilize one or more types of omics data. By presenting these methods, we aim to provide researchers with a better understanding of how to integrate omics data to gain a more comprehensive view of a biological system, facilitating the identification of complex patterns and interactions that might be missed by single-omics analyses.
Indexed as
Identifiers
What Socratic 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 Socratic graph.