ArticleBioData mining2012
Visualising associations between paired 'omics' data sets.
Article in BioData mining, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
164 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Trial
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- Small RNA Transcriptome of the Oral Microbiome during Periodontitis Progression.Applied and environmental microbiology · 2015Trial
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- Multi-Omics Reveals Early Pregnancy Placental Dysfunction Associated With Preterm and Term Preeclampsia.MedComm · 2026Article
- Regularized canonical correlation models improve prediction of weather impacts on semen quality in Murciano-Granadina bucks.Veterinary and animal science · 2026Article
- Integrated multi-omics reveals coordinatedmSystems · 2026Article
- Clinically distinct metabotypes of pediatric MASLD identified through unsupervised clustering of NASH CRN data.Nature communications · 2026Article
- Association Between Habitual Food Intake and Energy Metabolism-Related Urine Metabolites in Female Soccer Players.Molecular nutrition & food research · 2026Article
- From tissue to blood: an integrated multi-omics signature identifies fibrogenesis and neutrophil activation as key drivers of ulcerative colitis severity.Frontiers in immunology · 2026Article
- Mechanisms of volatile organic compounds from bat cave environments againstApplied and environmental microbiology · 2025Article
- Multi-Omics Signatures of Periodontitis and Periodontal Therapy on the Oral and Gut Microbiome.Journal of periodontal research · 2025Article
- Integrating imaging and omics for enhanced subtyping of mild cognitive impairment associated with Alzheimer's disease.Journal of translational medicine · 2025Article
- DecodingApplied and environmental microbiology · 2025Article
- Associations of the intestinal microbiota with plasma bile acids and inflammation markers in Crohn's disease and ulcerative colitis.Scientific reports · 2025Article
- Combined SPME-GC × GC-MS Volatilomics and UHPLC-HRMS Metabolomics Data Fusion Provides a Multidimensional Fingerprinting and Discrimination of White Garlic From the Piacenza Region.Journal of food science · 2025Article
- A comparison of oral microbiome composition between highly trained competitive athletes and untrained controls.Scientific reports · 2025Article
104 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
backgroundEach omics platform is now able to generate a large amount of data. Genomics, proteomics, metabolomics, interactomics are compiled at an ever increasing pace and now form a core part of the fundamental systems biology framework. Recently, several integrative approaches have been proposed to extract meaningful information. However, these approaches lack of visualisation outputs to fully unravel the complex associations between different biological entities.
resultsThe multivariate statistical approaches 'regularized Canonical Correlation Analysis' and 'sparse Partial Least Squares regression' were recently developed to integrate two types of highly dimensional 'omics' data and to select relevant information. Using the results of these methods, we propose to revisit few graphical outputs to better understand the relationships between two 'omics' data and to better visualise the correlation structure between the different biological entities. These graphical outputs include Correlation Circle plots, Relevance Networks and Clustered Image Maps. We demonstrate the usefulness of such graphical outputs on several biological data sets and further assess their biological relevance using gene ontology analysis.
conclusionsSuch graphical outputs are undoubtedly useful to aid the interpretation of these promising integrative analysis tools and will certainly help in addressing fundamental biological questions and understanding systems as a whole. AVAILABILITY: The graphical tools described in this paper are implemented in the freely available R package mixOmics and in its associated web application.
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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.