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

页码：2039 / 2045

页数：7

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