ArticleF1000Research2015
Constellation Map: Downstream visualization and interpretation of gene set enrichment results.
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.
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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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Who cites it
4 citing papers in PubMed.
- Genomic and transcriptomic profiling of pre- and postneoadjuvant chemotherapy triple negative breast cancer tumors.Cancer science · 2024Article
- FAM83H-AS1 is a potential modulator of cancer driver genes across different tumors and a prognostic marker for ER/PR + BRCA patients.Scientific reports · 2020Article
- The Pathway Coexpression Network: Revealing pathway relationships.PLoS computational biology · 2018Article
- Systems analysis uncovers inflammatory Th/Tc17-driven modules during acute GVHD in monkey and human T cells.Blood · 2016Article
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Authors and funding
5 authors.
Funding
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.
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Registered trials
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