'A practical guide to methods controlling false discoveries in computational biology' recommends the use of the swfdr package (BL method, ref below). This is an extension of Storey's p(FDR)/q-value measure to situations where there is not a uniform chance of the null-hypothesis being true or false.
We should make use of these advancements - indeed Dimitri suggested as much.
'A practical guide to methods controlling false discoveries in computational biology' recommends the use of the swfdr package (BL method, ref below). This is an extension of Storey's p(FDR)/q-value measure to situations where there is not a uniform chance of the null-hypothesis being true or false.
We should make use of these advancements - indeed Dimitri suggested as much.
swfdr: Science-wise false discovery rate and proportion of true null hypotheses estimation https://bioconductor.org/packages/release/bioc/html/swfdr.html A regression framework for the proportion of true null hypotheses (Bocca & Leek)