I am wondering if it is possible to incorporate information about the direction of an effect in the test distribution into a covariate used in IHW?
More specifically, I have a set of DESeq2 results: P-values and Beta statistics for my predictor of interest. Separately I obtained DESeq2 results from a RNAseq experiment with a similar predictor of interest. I want to use the results from the second experiment as a covariate in IHW such that a p-value in the first distribution is weighted differently in the IHW calculation based on its significance in the second distribution. That part seems simple enough following the vignette.
However, it would be interesting to base the IHW weighting on whether or not the direction of effect (upregulated or downregulated) was the same in both experiments (in addition to weighting based on the significance). Is that possible to do in the current IHW implementation?