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SSEA
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SSEA

SSEA (SNP Set Enrichment Analysis) is a tool to analyze pathway enrichment in genome-wide association studies (GWAS). The SSEA algorithm first identifies representative SNPs using adaptive truncated product statistics, ranks the selected SNPs, and tests their significance using a weighted Kolmogorov-Smirnov test.



SSEA

SSEA (SNP Set Enrichment Analysis) is a tool to analyze pathway enrichment in genome-wide association studies (GWAS). The SSEA algorithm first identifies representative SNPs using adaptive truncated product statistics, ranks the selected SNPs, and tests their significance using a weighted Kolmogorov-Smirnov test.

Topic

DNA polymorphism; Genetics; GWAS study

Details

  • Operation: Pathway or network analysis; Enrichment analysis
  • Software interface: Graphical user interface
  • Language: Java
  • Operating system: Linux; Mac OS X; Microsoft Windows
  • License: Not stated
    • Cost: Free
  • Version name: 1.0
  • Credit: The National Institutes of Health (NIH), the National Science Foundation (NSF).
  • Contact: wengl _at_ uci.edu | fmacciar _at_ uci.edu | aravind _at_ broadinstitute.org | gguffant _at_ uci.edu | sgpotkin _at_ uci.edu | zhaoxia _at_ ics.uci.edu | xhx _at_ ics.uci.edu
  • Collection: -

Publications

Weng L, Macciardi F, Subramanian A, Guffanti G, Potkin SG, Yu Z, Xie X "SNP-based pathway enrichment analysis for genome-wide association studies." BMC Bioinformatics 2011 https://doi.org/10.1186/1471-2105-12-99
PMID: 21496265
PMCID: PMC3102637


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