Use Enrichr gene set enrichment analysis with AI
Runs enrichment tests on a gene list across Enrichr libraries and returns only significant terms, choosing libraries and a background universe with care. It reports fallback results honestly and does not change any data.
Use it when
- A list of differentially expressed genes needs GO or pathway enrichment
- You want to know which Enrichr library fits a research question
- An enrichment result looks too strong and you need to check the background
Tools it uses
suggest_librariesenrichr_analysis
Run enrichment on these 40 DNA repair genes from our knockdown, drawn from the expressed genes in our tissue, using GO and KEGG.
I ran the analysis against a custom background of 4,812 expressed genes, because the list came from that set. GO Biological Process returned 9 significant terms, the top being DNA repair (adj p 3.1e-6, 14 overlapping genes). KEGG returned 2 terms. One library, Reactome, fell back to whole-genome p-values and is marked as not background-corrected, so I have not quoted its numbers as final.