ReviewMicroarrays (Basel, Switzerland)2015
Microarray Meta-Analysis and Cross-Platform Normalization: Integrative Genomics for Robust Biomarker Discovery.
Review in Microarrays (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03848455 (Multi-chip Meta-analysis of Parkinson's Disease for Clinical Validation of Small Samples of Key Genes in Disease), which is not on this map. Cited by 50 papers, 9 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.
Multi-chip Meta-analysis of Parkinson's Disease for Clinical Validation of Small Samples of Key Genes in Disease
Who cites it
50 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis.Molecular medicine (Cambridge, Mass.) · 2022Pooled it
- Comprehensive multi-cohort transcriptional meta-analysis of muscle diseases identifies a signature of disease severity.Scientific reports · 2022Pooled it
- AIM2 as a putative target in acute kidney graft rejection.Frontiers in immunology · 2022Pooled it
- Meta-analysis of gene expression disease signatures in colonic biopsy tissue from patients with ulcerative colitis.Scientific reports · 2021Pooled it
- Systematic review and meta-analysis of human transcriptomics reveals neuroinflammation, deficient energy metabolism, and proteostasis failure across neurodegeneration.Neurobiology of disease · 2021Pooled it
- Meta-Analysis Reveals the Prognostic Relevance of Nuclear and Membrane-Associated Bile Acid Receptors in Gastric Cancer.Clinical and translational gastroenterology · 2021Pooled it
- Meta-analysis of Transcriptomic Data Reveals Pathophysiological Modules Involved with Atrial Fibrillation.Molecular diagnosis & therapy · 2020Pooled it
- Array expression meta-analysis of cancer stem cell genes identifies upregulation of PODXL especially in DCC low expression meningiomas.PloS one · 2019Pooled it
- Transcriptome meta-analysis reveals a dysregulation in extra cellular matrix and cell junction associated gene signatures during Dengue virus infection.Scientific reports · 2016Pooled it
- Decoding causal m6A: a bioinformatics roadmap for psychiatric disorders.Briefings in bioinformatics · 2026Review
- MetaOmixTools: A User-Friendly Web Suite for Meta-analysis of Ranked Features and Functional Enrichment.Computational and structural biotechnology journal · 2026Article
- Outcome of IWGT workshop on transcriptomic biomarkers for genotoxicity: Key considerations for bioinformatics.Environmental and molecular mutagenesis · 2025Review
- How far are we from the era of big data in transcriptomics? Lessons from the bacterial data in GEO.Briefings in bioinformatics · 2025Review
- Integrative bioinformatics approaches reveal key hub genes in cyanobacteria: insights from Synechocystis sp. PCC 6803 and Geminocystis sp. NIES-3708 under abiotic stress conditions.Genes & genomics · 2025Article
- Article
- BMC3PM: bioinformatics multidrug combination protocol for personalized precision medicine and its application in cancer treatment.BMC medical genomics · 2023Article
- Silencing of genes by promoter hypermethylation shapes tumor microenvironment and resistance to immunotherapy in clear-cell renal cell carcinomas.Cell reports. Medicine · 2023Article
- New Transcriptomic Biomarkers of 5-Fluorouracil Resistance.International journal of molecular sciences · 2023Article
- Adjustment ofFrontiers in genetics · 2023Article
- Long non-coding RNAs as potential biomarkers or therapeutic targets in gastric cancer.Gastroenterology and hepatology from bed to bench · 2023Article
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
The diagnostic and prognostic potential of the vast quantity of publicly-available microarray data has driven the development of methods for integrating the data from different microarray platforms. Cross-platform integration, when appropriately implemented, has been shown to improve reproducibility and robustness of gene signature biomarkers. Microarray platform integration can be conceptually divided into approaches that perform early stage integration (cross-platform normalization) versus late stage data integration (meta-analysis). A growing number of statistical methods and associated software for platform integration are available to the user, however an understanding of their comparative performance and potential pitfalls is critical for best implementation. In this review we provide evidence-based, practical guidance to researchers performing cross-platform integration, particularly with an objective to discover biomarkers.
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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.