期刊
NATURE METHODS
卷 14, 期 6, 页码 584-+出版社
NATURE PORTFOLIO
DOI: 10.1038/nmeth.4263
关键词
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资金
- NIH [GM102756, U54 AI117924, 1T32LM012413-01A1, 5U01HL099773]
- Morgridge Institute for Research
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.
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