Closed yaaminiv closed 4 years ago
see also
table of measure of interest for your sequences: two columns of comma-separated values: gene id, continuous measure of significance such as log(fold-change) or -log(p-value). To perform standard GO enrichment analysis based on Fisher's exact test, use binary measure (1 or 0, i.e., either sgnificant or not). To analyze modules derived from WGCNA, specify 0 for genes not included in the module and the kME value (number between 0 and 1, module membership score) for genes included in the module.
you could use binary?
Also you have p-values.. so that would probably be the best to use
@sr320 I have p-values related to DML significance, not necessarily gene significance. There are also some genes with multiple DML, so multiple p-values. I think I need one gene, one p-value
Could use binary (gene has sig DML, gene doesn't have sig DML)
Yep - try binary.
The method is designed to be used with a continuous (not binary) variable, so you could try binary but you may get some weird behavior. I have some thoughts on how we may be able to get around that, will chat next meeting.
Looking at GO-MWU, I need to assign a "measure of significance":
I don't have these values...do you think I could use methylation difference between treatment and control?