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Assessment of Single Cell RNA-Seq Normalization Methods
被引:7
|作者:
Ding, Bo
[1
]
Zheng, Lina
[1
]
Wang, Wei
[1
,2
]
机构:
[1] Univ Calif San Diego, Dept Chem & Biochem, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Dept Cellular & Mol Med, La Jolla, CA 92093 USA
来源:
基金:
美国国家卫生研究院;
关键词:
normalization;
scRNA;
statistical index;
DIFFERENTIAL EXPRESSION ANALYSIS;
HETEROGENEITY;
NOISE;
D O I:
10.1534/g3.117.040683
中图分类号:
Q3 [遗传学];
学科分类号:
071007 ;
090102 ;
摘要:
We have assessed the performance of seven normalization methods for single cell RNA-seq using data generated from dilution of RNA samples. Our analyses showed that methods considering spike-in External RNA Control Consortium (ERCC) RNA molecules significantly outperformed those not considering ERCCs. This work provides a guidance of selecting normalization methods to remove technical noise in single cell RNA-seq data.
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页码:2039 / 2045
页数:7
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