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

Nature Methods
Rhonda BacherChristina Kendziorski

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.

Associated Proceedings Papers

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Related Concepts

Single-Cell Analysis
Sequence Determinations, RNA
Computer Programs and Programming
Normalize
Data Interpretation, Statistical
High-Throughput Nucleotide Sequencing
Analysis
Gene Expression Profiles
RNA
Gene Feature

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