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Motivation: Functional genomics (FG) screens, using RNAi or CRISPR technology, have become a standard tool for systematic, genome-wide loss-of-function studies for therapeutic target discovery. As in many large-scale assays, however, off-target effects, variable reagents' potency and experimental noise must be accounted for appropriately control for false positives. Indeed, rigorous statistical analysis of high-throughput FG screening data remains challenging, particularly when integrativedoi:10.1093/bioinformatics/btv556 pmid:26415723 pmcid:PMC4907394 fatcat:wlghp2dfufhldcwd3no5vtvpvq