Accounting for technical noise in single-cell RNA-seq experiments

被引：0
|
作者：
Philip Brennecke
Simon Anders
Jong Kyoung Kim
Aleksandra A Kołodziejczyk
Xiuwei Zhang
Valentina Proserpio
Bianka Baying
Vladimir Benes
Sarah A Teichmann
John C Marioni
Marcus G Heisler
机构：
[1] European Molecular Biology Laboratory (EMBL),
[2] EMBL,undefined
[3] European Bioinformatics Institute (EBI),undefined
[4] Wellcome Trust Sanger Institute,undefined
[5] Medical Research Council Laboratory of Molecular Biology,undefined
[6] University of Sydney,undefined
来源：
Nature Methods | 2013年 / 10卷
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学科分类号：
摘要：
A statistical method that uses spike-ins to model the dependence of technical noise on transcript abundance in single-cell RNA-seq experiments allows identification of genes wherein observed variability in read counts can be reliably interpreted as a signal of biological variability as opposed to the effect of technical noise.
引用
收藏
页码：1093 / 1095
页数：2
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