SCnorm: robust normalization of single-cell RNA-seq data
Nature methods, 2017•nature.com
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.
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.
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.
nature.com