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JEFworks · Sep 7, 2017 · b4aa3ca · b4aa3ca
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 # Lightweight Iterative Gene set Enrichment in R (LIGER)
 
+![](liger_logo.svg) 
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 **[See vignette for tutorial ☞ Gene Set Enrichment Analysis with LIGER](vignettes/gsea.pdf)**
 
 Gene Set Enrichment Analysis (GSEA) is a computational method that determines whether an a priori defined set of genes shows statistically significant, concordant differences between two biological states. The original algorithm is detailed in [Subramanian, Tamayo, et al.](http://www.pnas.org/content/102/43/15545.full.pdf) with Java implementations available through the [Broad Institute](http://www.broadinstitute.org/gsea/index.jsp).
 
 The `liger` package provides a lightweight R implementation of this enrichment test on a list of values. Given a list of values, such as p-values or log-fold changes derived from differential expression analysis or other analyses comparing biological states, this package enables you to test a priori defined set of genes for enrichment to enable interpretability of highly significant or high fold-change genes.
 
+For more information, check out: [What is the point of gene set or pathway enrichment analysis?](http://jefworks.com/what-is-the-point-of-gene-set-or-pathway-enrichment-analysis/)
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 # Sample plots
 
 ## Testing individual gene sets