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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