ArticleAnalytical chemistry2021
Multiomic Big Data Analysis Challenges: Increasing Confidence in the Interpretation of Artificial Intelligence Assessments.
Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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
31 citing papers in PubMed.
- From blueprint to build: Metal ions in peripheral nerve development and engineering regeneration.Bioactive materials · 2026Review
- Organic Chemistry as a Catalyst for AI Innovation: Challenges, Methods, and Emerging Paradigms.Chemical reviews · 2026Review
- Profiling of extracellular vesicles from primary hepatocytes, organoids, and mash patients identifies cell injury-specific signatures.Scientific reports · 2026Article
- Ensemble learning on serum metabolic fingerprints for early detection of lung adenocarcinoma.NPJ precision oncology · 2026Article
- Multi-omics integration reveals the link between gut microbiota dysbiosis, host metabolic dysregulation, and aortic inflammation in abdominal aortic aneurysm.BMC microbiology · 2026Article
- The intersection of artificial intelligence and lung nodule research: current applications and future prospects.International journal of surgery (London, England) · 2026Article
- Precision oncology in gynecologic cancers: molecular taxonomy, biomarker-guided therapeutics, and the challenge of therapeutic resistance.Frontiers in oncology · 2026Review
- Advances in anti-aging Drug research leveraging multi-omics and artificial intelligence.Frontiers in aging · 2026Review
- Molecular life sciences in the era of the Fourth Industrial Revolution: sequencing, multi-omics and artificial intelligence.Emerging topics in life sciences · 2025Review
- Bioinformatics and artificial intelligence in genomic data analysis: current advances and future directions.Molecular genetics and genomics : MGG · 2025Review
- Structural and evolutionary insights into understudied bacterial serine-threonine pseudokinase families.Biochemical Society transactions · 2025Review
- Technologies in Biomarker Discovery for Animal Diseases: Mechanisms, Classification, and Diagnostic Applications.Animals : an open access journal from MDPI · 2025Review
- Network-based analyses of multiomics data in biomedicine.BioData mining · 2025Review
- Cancer chemoprevention: signaling pathways and strategic approaches.Signal transduction and targeted therapy · 2025Review
- Precision medicine for obesity: current evidence and insights for personalization of obesity pharmacotherapy.International journal of obesity (2005) · 2025Review
- Addressing biomedical data challenges and opportunities to inform a large-scale data lifecycle for enhanced data sharing, interoperability, analysis, and collaboration across stakeholders.Scientific reports · 2025Article
- Polymerase Chain Reaction Chips for Biomarker Discovery and Validation in Drug Development.Micromachines · 2025Review
- Machine learning-based approach to guide the choice between baricitinib and tocilizumab in critical COVID-19 pneumonia treatment: a retrospective cohort study.Frontiers in medicine · 2025Article
- Integrative AI-Based Approaches to Connect the Multiome to Use Microbiome-Metabolome Interactive Outcome as Precision Medicine.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Preclinical models of mitochondrial dysfunction: mtDNA and nuclear-encoded regulators in diverse pathologies.Frontiers in aging · 2025Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The need for holistic molecular measurements to better understand disease initiation, development, diagnosis, and therapy has led to an increasing number of multiomic analyses. The wealth of information available from multiomic assessments, however, requires both the evaluation and interpretation of extremely large data sets, limiting analysis throughput and ease of adoption. Computational methods utilizing artificial intelligence (AI) provide the most promising way to address these challenges, yet despite the conceptual benefits of AI and its successful application in singular omic studies, the widespread use of AI in multiomic studies remains limited. Here, we discuss present and future capabilities of AI techniques in multiomic studies while introducing analytical checks and balances to validate the computational conclusions.
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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.