RT Journal Article
SR Electronic
T1 SCnorm: A quantile-regression based approach for robust normalization of single-cell RNA-seq data
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 090167
DO 10.1101/090167
A1 Rhonda Bacher
A1 Li-Fang Chu
A1 Ning Leng
A1 Audrey P. Gasch
A1 James A. Thomson
A1 Ron M. Stewart
A1 Michael Newton
A1 Christina Kendziorski
YR 2016
UL http://biorxiv.org/content/early/2016/11/29/090167.abstract
AB Normalization of RNA-sequencing data is essential for accurate downstream inference, but the assumptions upon which most methods are based do not hold in the single-cell setting. Consequently, applying existing normalization methods to single-cell RNA-seq data introduces artifacts that bias downstream analyses. To address this, we introduce SCnorm for accurate and efficient normalization of scRNA-seq data.