ReviewTrends in genetics : TIG2006
Reliability and reproducibility issues in DNA microarray measurements.
Review in Trends in genetics : TIG, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 235 papers, 4 of them syntheses that pooled it.
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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.
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
235 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis.Bioinformatics (Oxford, England) · 2020Pooled it
- Analysis of microRNA and Gene Expression Profiles in Alzheimer's Disease: A Meta-Analysis Approach.Scientific reports · 2018Pooled it
- Meta-analysis of gene expression studies in endometrial cancer identifies gene expression profiles associated with aggressive disease and patient outcome.Scientific reports · 2016Pooled it
- Revealing the acute asthma ignorome: characterization and validation of uninvestigated gene networks.Scientific reports · 2016Pooled it
- Cross-study homogeneity of psoriasis gene expression in skin across a large expression range.PloS one · 2013Trial
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- Stabilizing and directional selection shape the genetic variation of gene expression in the transcriptome of Chlamydomonas.Molecular biology and evolution · 2026Article
- Harnessing the potential of small extracellular vesicle biomarkers for cancer diagnosis and prognosis with advanced analytical technologies.Journal of translational internal medicine · 2025Article
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- Misspellings or "miscellings"-Non-verifiable and unknown cell lines in cancer research publications.International journal of cancer · 2024Article
- DExplore: An Online Tool for Detecting Differentially Expressed Genes from mRNA Microarray Experiments.Biology · 2024Article
- Research on Key Technologies of Microarray Chips for Detecting Drug-Resistant Genes inMicromachines · 2024Article
- An overview of multi-omics technologies in rheumatoid arthritis: applications in biomarker and pathway discovery.Frontiers in immunology · 2024Review
- Unraveling the Roles of miR-204-5p and HMGA2 in Papillary Thyroid Cancer Tumorigenesis.International journal of molecular sciences · 2023Article
- StkP- and PhpP-Mediated Posttranslational Modifications Modulate the S. pneumoniae Metabolism, Polysaccharide Capsule, and Virulence.Infection and immunity · 2023Article
- Prognostic biomarkers and molecular pathways mediating Helicobacter pylori-induced gastric cancer: a network-biology approach.Genomics & informatics · 2023Article
- Towards reproducible research in recurrent pregnancy loss immunology: Learning from cancer microenvironment deconvolution.Frontiers in immunology · 2023Article
- Article
175 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
DNA microarrays enable researchers to monitor the expression of thousands of genes simultaneously. However, the current technology has several limitations. Here we discuss problems related to the sensitivity, accuracy, specificity and reproducibility of microarray results. The existing data suggest that for relatively abundant transcripts the existence and direction (but not the magnitude) of expression changes can be reliably detected. However, accurate measurements of absolute expression levels and the reliable detection of low abundance genes are difficult to achieve. The main problems seem to be the sub-optimal design or choice of probes and some incorrect probe annotations. Well-designed data-analysis approaches can rectify some of these problems.
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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.