ReviewBMC systems biology2014
Data integration in the era of omics: current and future challenges.
Review in BMC systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 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
156 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis based gene expression profiling reveals functional genes in ovarian cancer.Bioscience reports · 2020Pooled it
- IAN, an intelligent system for omics data analysis and discovery.Cell reports methods · 2026Article
- Navigating multi-omic integration methods for human microbiome research.Nature microbiology · 2026Review
- Integrative multi-omics and network-based machine learning for early diagnosis of Parkinson's disease.PloS one · 2026Article
- Rank-based learning: a novel high-throughput algorithm resilient to missing data and effective for datasets with small sample size.Briefings in bioinformatics · 2025Article
- Plant-pathogen interactions: making the case for multi-omics analysis of complex pathosystems.Stress biology · 2025Review
- PlantGPT: An Arabidopsis-Based Intelligent Agent that Answers Questions about Plant Functional Genomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Multimodal data integration in early-stage breast cancer.Breast (Edinburgh, Scotland) · 2025Review
- A novel integrative multimodal classifier to enhance the diagnosis of Parkinson's disease.Briefings in bioinformatics · 2025Article
- Metadata harmonization from biological datasets with language models.Bioinformatics advances · 2025Article
- Editorial: Multi-scale systems: ecological approaches to investigate the role of the microbiota in different niches.Frontiers in molecular biosciences · 2025Article
- Body mass index distinctly modulates the associations between Alistipes and CRP/IL-6 in metabolic and lupus inflammatory features.PloS one · 2025Article
- A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data.PLoS computational biology · 2025Article
- Cerebrospinal Fluid Metabolomics and Proteomics Integration in Neurological Syndromes.Methods in molecular biology (Clifton, N.J.) · 2025Review
- A cost and community perspective on the barriers to microbiome data reuse.Frontiers in bioinformatics · 2025Article
- Drug response in the era of precision medicine: A methodological review.Computational and structural biotechnology journal · 2025Review
- Supervised multiple kernel learning approaches for multi-omics data integration.BioData mining · 2024Article
- Machine learning for precision diagnostics of autoimmunity.Scientific reports · 2024Article
- Optimizing multi-omics data imputation with NMF and GAN synergy.Bioinformatics (Oxford, England) · 2024Article
- Review
96 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
10 authors.
Funding
Abstract
To integrate heterogeneous and large omics data constitutes not only a conceptual challenge but a practical hurdle in the daily analysis of omics data. With the rise of novel omics technologies and through large-scale consortia projects, biological systems are being further investigated at an unprecedented scale generating heterogeneous and often large data sets. These data-sets encourage researchers to develop novel data integration methodologies. In this introduction we review the definition and characterize current efforts on data integration in the life sciences. We have used a web-survey to assess current research projects on data-integration to tap into the views, needs and challenges as currently perceived by parts of the research community.
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.