PT - JOURNAL ARTICLE AU - Debarka Sengupta AU - Nirmala Arul Rayan AU - Michelle Lim AU - Bing Lim AU - Shyam Prabhakar TI - Fast, scalable and accurate differential expression analysis for single cells AID - 10.1101/049734 DP - 2016 Jan 01 TA - bioRxiv PG - 049734 4099 - http://biorxiv.org/content/early/2016/04/22/049734.short 4100 - http://biorxiv.org/content/early/2016/04/22/049734.full AB - Analysis of single-cell RNA-seq data is challenging due to technical variability, high noise levels and massive sample sizes. Here, we describe a normalization technique that substantially reduces technical variability and improves the quality of downstream analyses. We also introduce a nonparametric method for detecting differentially expressed genes that scales to > 1,000 cells and is both more accurate and ~10 times faster than existing parametric approaches.