RT Journal Article
SR Electronic
T1 Fast, scalable and accurate differential expression analysis for single cells
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 049734
DO 10.1101/049734
A1 Debarka Sengupta
A1 Nirmala Arul Rayan
A1 Michelle Lim
A1 Bing Lim
A1 Shyam Prabhakar
YR 2016
UL http://biorxiv.org/content/early/2016/04/22/049734.abstract
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.