Entering edit mode
3.3 years ago
garfield320
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20
I read that very small or very large gene sets can affect the enrichment score and p values in a GSEA analysis (e.g. if there are 10 genes in a gene set vs. 100 genes in a gene set, the former would be more likely to return a significant p value), and that's why GSEA normalizes for variations in gene set size.
I'm curious if a very small or very large pre-ranked gene list can also affect the p values of the enrichment scores. For instance, if I detected 1000 genes in my experiment and 100 of them were differentially expressed vs. if I detected 100 genes in my experiment and 10 of them were differentially enriched, would these different inputs affect the significance of pathways at all?
