Evidence map›Paper›PMID 18790795›Full record

ArticleBioinformatics (Oxford, England)2008

Gene set enrichment analysis using linear models and diagnostics.

Assaf P Oron, Zhen Jiang, Robert Gentleman

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% of its field
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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. iBBiG: iterative binary bi-clustering of gene sets.Bioinformatics (Oxford, England) · 2012
    Pooled it
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  14. PeerJ · 2017
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  20. BicOverlapper 2.0: visual analysis for gene expression.Bioinformatics (Oxford, England) · 2014
    Article
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

3 authors at 2 institutions in 1 country.

Assaf P OronFred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109-1024, USA. assaf.oron@gmail.com
Zhen Jiang
Robert Gentleman
University of Washington · USNorth Seattle College · US

Funding

Vaccinating against IGFBP-2 to prevent ovarian cancer relapseP50CA083636 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DRESCHER, CHARLES, URBAN, NICOLE DENISE · 1999 to 2015
$35.1M
Bioconductor: an open computing resource for genomicsP41HG004059 · NHGRI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MORGAN, MARTIN T · 2006 to 2010
$4.6M
NCI NIH HHS P50 CA083636NCI NIH HHS P50-CA-083636NHGRI NIH HHS 1-P41-HG004059NHGRI NIH HHS P41 HG004059
6 · The paper itself

Abstract

motivationGene-set enrichment analysis (GSEA) can be greatly enhanced by linear model (regression) diagnostic techniques. Diagnostics can be used to identify outlying or influential samples, and also to evaluate model fit and explore model expansion.

resultsWe demonstrate this methodology on an adult acute lymphoblastic leukemia (ALL) dataset, using GSEA based on chromosome-band mapping of genes. Individual residuals, grouped or aggregated by chromosomal loci, indicate problematic samples and potential data-entry errors, and help identify hyperdiploidy as a factor playing a key role in expression for this dataset. Subsequent analysis pinpoints suspected DNA copy number abnormalities of specific samples and chromosomes (most prevalent are chromosomes X, 21 and 14), and also reveals significant expression differences between the hyperdiploid and diploid groups on other chromosomes (most prominently 19, 22, 3 and 13)--differences which are apparently not associated with copy number. AVAILABILITY: Software for the statistical tools demonstrated in this article is available as Bioconductor package GSEAlm. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Models, GeneticChromosomesGene Expression ProfilingHumansLeukemia, LymphoidLinear ModelsPhenotype

Identifiers

PMID18790795
PMCPMC2579710
OpenAlexW2120449613

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.