PT - JOURNAL ARTICLE AU - Rhonda Bacher AU - Li-Fang Chu AU - Ning Leng AU - Audrey P. Gasch AU - James A. Thomson AU - Ron M. Stewart AU - Michael Newton AU - Christina Kendziorski TI - SCnorm: A quantile-regression based approach for robust normalization of single-cell RNA-seq data AID - 10.1101/090167 DP - 2016 Jan 01 TA - bioRxiv PG - 090167 4099 - http://biorxiv.org/content/early/2016/11/29/090167.short 4100 - http://biorxiv.org/content/early/2016/11/29/090167.full 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.