Nature MethodsGenomicsPeer-reviewed journal article
SCnorm: A quantile-regression based approach for robust normalization of single-cell RNA-seq data
Rhonda L. BacheriD, Li‐Fang ChuiD, Ning LengiD, Audrey P. GaschiD, James Alexander ThomsoniD, Ron M. StewartiD, Michael A. NewtoniD, Christina M. KendziorskiiD
Abstract
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.
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