The following powerpoint presentation has a few slides about false discovery rate (which usually is calculated using the Benjamini-Hochberg procedure):
Hi, although it's a bit late to comment, I must point out as in the mentioned slides it's reported that "In DAVID, the “Benjamini-Hochberg” column corresponds to the false discovery rate as it is typically defined. It is unclear what the FDR means" at slide # 40. It must be noticed that FDR values can be above 1, which is strange.
So, if anyone knows what that FDR in David stands for it would be really nice to know!
I did see the slide, but I am not sure that the q-value or the Benjamini and Hockberg FDR is what is described there. I am saying this both from what is written later in the slides, but also from the weird results shown in the FDR column, which can be bigger than one (so what kind of proportion is it if it's not between 0 and 1?).
It's not really a big deal because I am just using the Benjamini and Hochberg p-value, but I am just curious to know - I should probably write to David developers :)