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SCnorm: robust normalization of single-cell RNA-seq data
Rhonda Bacher1, Li-Fang Chu2, Ning Leng2
1Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Nature Methods
|April 19, 2017
Abstract:
The normalization of RNA-seq data is essential for accurate downstream inference, but the assumptions upon which most normalization methods are based are not applicable 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 single-cell RNA-seq data.