TY - JOUR T1 - MAUDE: Inferring expression changes in sorting-based CRISPR screens JF - bioRxiv DO - 10.1101/819649 SP - 819649 AU - Carl G. de Boer AU - John P. Ray AU - Nir Hacohen AU - Aviv Regev Y1 - 2019/01/01 UR - http://biorxiv.org/content/early/2019/10/28/819649.abstract N2 - Pooled CRISPR screens allow high-throughput interrogation of genetic elements that alter expression of a reporter gene readout. New computational methods are needed to model these data. We created MAUDE (Mean Alterations Using Discrete Expression) for quantifying the impact of guide RNAs on a target gene’s expression in a pooled, sorting-based expression screen. MAUDE quantifies guide-level effects by modeling the distribution of cells across sorting expression bins. It then combines guides to estimate the statistical significance and effect size of targeted genetic elements. We show that MAUDE significantly improves over previous approaches and provide experimental design guidelines to best leverage MAUDE.AUROCArea under the receiver operating characteristic curveCaRECRISPRa responsive element (as identified in 9)CRISPRclustered regularly interspaced short palindromic repeatsFDRfalse discovery rateMAUDEmean alterations using discrete expressionSDstandard deviationTSStranscription start site ER -