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SCnorm: robust 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.

SUBMITTER: Bacher R 

PROVIDER: S-EPMC5473255 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

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SCnorm: robust normalization of single-cell RNA-seq data.

Bacher Rhonda R   Chu Li-Fang LF   Leng Ning N   Gasch Audrey P AP   Thomson James A JA   Stewart Ron M RM   Newton Michael M   Kendziorski Christina C  

Nature methods 20170417 6

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. ...[more]

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