Publication:

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

Loading...
Thumbnail Image

Open/View Files

Date

2015

Journal Title

Journal ISSN

Volume Title

Publisher

F1000Research
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Tan, Yan, Felix Wu, Pablo Tamayo, W. Nicholas Haining, and Jill P. Mesirov. 2015. “Constellation Map: Downstream visualization and interpretation of gene set enrichment results.” F1000Research 4 (1): 167. doi:10.12688/f1000research.6644.1. http://dx.doi.org/10.12688/f1000research.6644.1.

Abstract

Summary: Gene 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.

Description

Research Data

Keywords

Articles, Bioinformatics, Genetics of the Immune System, Genomics, Theory & Simulation, gene set enrichment analysis, GSEA, gene expression, signature, pathway, visualization, mutual information

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories