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Click on the View enrichment report icon (Image Added) to open a new Data viewer session with the per-gene set report. The current gene set is in the title, at the top of the canvas (Enrichment profile). To quickly switch to another gene set, use the Configuration > Content > Data card in the menu (on the left). The individual plots are as follows (Figure 11; from top to bottom).

• Enrichment score. The algorithm walks down the ranked list of all the genes in the model, increasing the running sum each time when a gene in the current gene set is encountered. Conversely, the running-sum is decreased each time a gene not in the current gene set is encountered. The magnitude of the increment depends on the correlation of the gene with the experimental factor. The enrichment score is then the maximum deviation from zero encountered in the random walk (the summit of the curve).

References

1. Subramanian A, Tamayo P, Mootha VK, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545-15550. doi:10.1073/pnas.0506580102
2. Mootha VK, Lindgren CM, Eriksson KF, et al. PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat Genet. 2003;34(3):267-273. doi:10.1038/ng1180