The False Discovery Rate (FDR) of a set of predictions is the * expected* percent
of false predictions in the set of predictions. For example if the algorithm
returns 100 genes with a false discovery rate of .3 then we should expect 70 of
them to be correct.

The FDR is very different from a * p*-value, and as such a much higher FDR
can be tolerated than with a

PaGE reports 1 - FDR, which is called the "confidence" for the predictions.