Boosting the power of single-cell analysis

被引：43

作者：

Wen, Lu ^{[1
]}

Tang, Fuchou ^{[1
]}

机构：

[1] Peking Univ, Coll Life Sci, Beijing Adv Innovat Ctr Genom, Beijing, Peoples R China

来源：

NATURE BIOTECHNOLOGY | 2018年 / 36卷 / 05期

关键词：

BIOLOGY;

D O I：

10.1038/nbt.4131

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Data sets from different single-cell RNA-seq experiments are combined with reduced technical error.

引用

页码：408 / 409

页数：3

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