ReviewGenome biology2024
Assessing and mitigating batch effects in large-scale omics studies.
Review in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 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.
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, 4 syntheses or guidelines pooled it.
- Clinical lipidomics in bacterial sepsis: a systematic review of serum and plasma evaluations.Metabolomics : Official journal of the Metabolomic Society · 2026Pooled it
- Causal network analysis of omics data using prior knowledge databases.Briefings in bioinformatics · 2025Pooled it
- Pituitary Neuroendocrine Tumor or Pituitary Adenoma? Let's Ask the Epigenome!Endocrine pathology · 2025Pooled it
- Limitations of nomogram models in predicting survival outcomes for glioma patients.Frontiers in immunology · 2025Pooled it
- Diagnosing Anaerobic Digesters' Function and Performance: From Meta-Omics to Integrated Meta-Omics Analyses.Environmental microbiology reports · 2026Review
- Decoding the cancer microbiome: multi-omics, AI, and translational opportunities.Genome biology · 2026Review
- Integrating multi-omics technologies to decipher microbiome functions.Nature communications · 2026Review
- Ensuring multiomics data reproducibility for artificial intelligence with reference materials as a common calibrator.Nature biotechnology · 2026Article
- Artificial intelligence-driven advancements in agricultural biotechnology.Journal, genetic engineering & biotechnology · 2026Review
- Spatial and Temporal Heterogeneity of Macrophage Efferocytosis in Tumors: Emerging Implications for Immunotherapy Biomarkers and Therapeutic Timing.Cancer medicine · 2026Review
- Multi-omics-driven precision medicine.iMeta · 2026Review
- A Practical Workflow for Correcting Kit-Specific Effects in Whole-Exome Sequencing Data.Methods and protocols · 2026Article
- MPR-MOPSO-ASFS: A Stable Multi-Objective Feature Selection Algorithm for Metabolomics.Metabolites · 2026Article
- Next-Generation Stroke Biomarkers: Bridging the Gap Between Innovation and Translation.Journal of clinical medicine · 2026Review
- Pig Matrix: a matched multiomics 3D regulatory genomics database for evolutionary and comparative analyses in pigs.Molecular biology and evolution · 2026Article
- Mapping the path to clinical implementation of multi-omics.Nature genetics · 2026Review
- An interpretable breast cancer risk stratification model via multi-omics integration: multi-method development and cross-cohort validation.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Exercise and Sports Metabolomics: Analytical Platforms, Metabolite Annotation, Pathway-Level Interpretation, and Biomarker-Panel Readiness.Metabolites · 2026Review
- ROS-Centered Transcriptomic Regulatory Networks Linking Salinity Stress, Antioxidant Defense and Processability Traits inCurrent issues in molecular biology · 2026Review
- Urinary Extracellular Vesicles Biomarkers in CKD: Clinical Laboratory Translation.Diagnostics (Basel, Switzerland) · 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
Batch effects in omics data are notoriously common technical variations unrelated to study objectives, and may result in misleading outcomes if uncorrected, or hinder biomedical discovery if over-corrected. Assessing and mitigating batch effects is crucial for ensuring the reliability and reproducibility of omics data and minimizing the impact of technical variations on biological interpretation. In this review, we highlight the profound negative impact of batch effects and the urgent need to address this challenging problem in large-scale omics studies. We summarize potential sources of batch effects, current progress in evaluating and correcting them, and consortium efforts aiming to tackle them.
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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.