Evidence map›Paper›PMID 17504534›Full record

ArticleGenome biology2007

Exon arrays provide accurate assessments of gene expression.

Karen Kapur, Yi Xing, Zhengqing Ouyang, Wing Hung Wong

Abstract read
In one paragraph

Article in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. The changing landscape of gene expression analysis.Briefings in bioinformatics · 2026
    Review
  4. Transcriptomics in Alzheimer's Disease: Aspects and Challenges.International journal of molecular sciences · 2020
    Review
  5. CBX8 and CD96 Are Important Prognostic Biomarkers of Colorectal Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  6. Article
  7. Over-expression of TOP2A as a prognostic biomarker in patients with glioma.International journal of clinical and experimental pathology · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Multiplatform single-sample estimates of transcriptional activation.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Karen KapurDepartment of Statistics, Stanford University, Stanford, California 94305, USA. kapur@stanford.edu
Yi Xing
Zhengqing Ouyang
Wing Hung Wong

Funding

ANALYSIS OF OLIGONUCLEOTIDE GENE EXPRESSION ARRAY DATAR01HG002341 · NHGRI · STANFORD UNIVERSITY · PI WONG, WING H. · 2000 to 2005
$2.6M
NHGRI NIH HHS R01 HG002341NHGRI NIH HHS R01HG002341
6 · The paper itself

Abstract

We have developed a strategy for estimating gene expression on Affymetrix Exon arrays. The method includes a probe-specific background correction and a probe selection strategy in which a subset of probes with highly correlated intensities across multiple samples are chosen to summarize gene expression. Our results demonstrate that the proposed background model offers improvements over the default Affymetrix background correction and that Exon arrays may provide more accurate measurements of gene expression than traditional 3' arrays.

Indexed as

DNA ProbesExonsGene Expression ProfilingHumansOligonucleotide Array Sequence AnalysisDNA Probes

Identifiers

PMID17504534
PMCPMC1929160

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.