PT  - JOURNAL ARTICLE
AU  - Carl G. de Boer
AU  - John P. Ray
AU  - Nir Hacohen
AU  - Aviv Regev
TI  - MAUDE: Inferring expression changes in sorting-based CRISPR screens
AID  - 10.1101/819649
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 819649
4099  - http://biorxiv.org/content/early/2019/10/28/819649.short
4100  - http://biorxiv.org/content/early/2019/10/28/819649.full
AB  - 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