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

Rhonda BacherLi-Fang ChuNing LengAudrey P GaschJames A ThomsonRon M StewartMichael A NewtonChristina Kendziorski
Published in: Nature methods (2017)
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.
Keyphrases
  • rna seq
  • single cell
  • electronic health record
  • high throughput
  • big data
  • high resolution
  • magnetic resonance imaging
  • magnetic resonance
  • machine learning
  • deep learning