Entering edit mode
4.0 years ago
crespi
▴
10
I have two lists of genes, the genome-wide significant hits from 2 diseases. I did gene ontology in ShinyGo, for KEGG pathways, and Biological Processes, to see if there was significant overlap in the sets of annotations between the two diseases. I am unsure as to the best statistical test to use for an unexpectedly (significantly) high level of overlap in the two sets of annotations. Thanks!
Can you confirm the exact data that you are aiming to compare? - like, literally, paste an example here, please?. Is it p-values and / or text data (the 'text data' being the KEGG pathway and Biological Processes).