Journal
BIOINFORMATICS
Volume 36, Issue 9, Pages 2923-2925Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btaa001
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Funding
- Ontario Research Fund [RDI] [34876]
- Natural Sciences Research Council [NSERC] [203475]
- Canada Foundation for Innovation [CFI] [225404, 30865]
- IBM
- Ian Lawson van Toch Fund
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Motivation: Gene sets over-representation analysis (GSOA) is a common technique of enrichment analysis that measures the overlap between a gene set and selected instances (e.g. pathways). Despite its popularity, there is currently no established standard for visualization of GSOA results. Results: Here, we propose a visual exploration of the GSOA results by showing the relationships among the enriched instances, while highlighting important instance attributes, such as significance, closeness (centrality) and clustering.
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