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
G3-GENES GENOMES GENETICS | 2017年 / 7卷 / 07期
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.
引用
收藏
页码:2039 / 2045
页数:7
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