High-throughput biological data analysis commonly involves identifying “interesting” features (e.g., genes, genomic regions, and proteins), whose values differ between two conditions, from numerous features measured simultaneously. The most widely-used criterion to ensure the analysis reliability is the false discovery rate (FDR), the expected proportion of uninteresting features among the...