Evidence map›Paper›PMID 26594333›Full record

ArticleF1000Research2015

Constellation Map: Downstream visualization and interpretation of gene set enrichment results.

Yan Tan, Felix Wu, Pablo Tamayo, W Nicholas Haining, Jill P Mesirov

Abstract read
In one paragraph

Article in F1000Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Yan Tan *Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
Felix Wu *Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
Pablo TamayoBroad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
W Nicholas HainingBroad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
Jill P MesirovBroad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.

Funding

Systems Biological Analysis of Innate and Adaptive Responses to VaccinationU19AI090023 · NIAID · EMORY UNIVERSITY · PI AHMED, RAFI, LI, SHUZHAO · 2010 to 2021
$45.0M
GenomeSpace: community web environment for analysis across diverse genomic toolsU41HG007517 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P. · 2014 to 2017
$7.5M
Supporting Integrative Genomic Analysis Users with GenePatternR01GM074024 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P. · 2005 to 2019
$6.6M
Knowledge-based Gene Expression Analysis for Biomedical and Cancer ResearchR01CA121941 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P. · 2006 to 2016
$5.1M
NCI NIH HHS R01 CA121941NHGRI NIH HHS U41 HG007517NIAID NIH HHS U19 AI090023NIGMS NIH HHS R01 GM074024
6 · The paper itself

Abstract

unlabelledGene set enrichment analysis (GSEA) approaches are widely used to identify coordinately regulated genes associated with phenotypes of interest. Here, we present Constellation Map, a tool to visualize and interpret the results when enrichment analyses yield a long list of significantly enriched gene sets. Constellation Map identifies commonalities that explain the enrichment of multiple top-scoring gene sets and maps the relationships between them. Constellation Map can help investigators take full advantage of GSEA and facilitates the biological interpretation of enrichment results. AVAILABILITY: Constellation Map is freely available as a GenePattern module at http://www.genepattern.org.

Indexed as

gene expressiongene set enrichment analysisGSEAmutual informationpathwaysignaturevisualization

Identifiers

PMID26594333
PMCPMC4648224

What OpenQuestion holds

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Registered trials

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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.