Assessment of Single Cell RNA-Seq Normalization Methods.

Assessment of Single Cell RNA-Seq Normalization Methods.
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DOI:
10.1534/g3.117.040683
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发表时间:
2017-07-05
期刊:
G3 (Bethesda, Md.)
影响因子:
--
通讯作者:
Wang W
Wang W
中科院分区:
其他
文献类型:
--
作者:
Ding B;Zheng L;Wang W

文献摘要

相似文献

我们使用从RNA样品稀释产生的数据评估了七种用于单细胞RNA-SEQ的归一化方法的性能。我们的分析表明,考虑外部RNA控制联盟(ERCC)RNA分子尖峰的方法显著优于不考虑ERCC的方法。该工作为选择归一化方法去除单细胞RNA-SEQ数据中的技术噪声提供了指导。
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.