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GSEA determines leading edge genes by scoring a maximum running sum along the ranked list of differentially expressed genes.
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The range is the difference between the maximum and minimum values of a running sum of the data.
Where the running sum reaches a maximum score is our enrichment score for the gene set in question [ 25, 5].
LE analysis identifies the genes of each GS that appear in the ranked list at or before the point at which the running sum reaches its maximum deviation from zero.
A running sum algorithm was executed.
Subsequently, we calculated a running sum statistic.
For estimating the statistical significance, the maximal deviation from zero of the running sum was considered.
Reads were then passed through running sum and window-based trimming functions [ 30].
We next compute a running sum of this statistic on the reordered dataset.
For every base, the CLC workbench calculated the running sum of this value.
ES1 is defined as the greatest positive deviation of the running sum across all N genes.
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