Integrating single-cell transcriptomic data across different conditions, technologies, and species

被引：0
|
作者：
Andrew Butler
Paul Hoffman
Peter Smibert
Efthymia Papalexi
Rahul Satija
机构：
[1] New York Genome Center,
[2] Center for Genomics and Systems Biology,undefined
[3] New York University,undefined
来源：
Nature Biotechnology | 2018年 / 36卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A new computational approach enables integrative analysis of disparate single-cell RNA–sequencing data sets by identifying shared patterns of variation between cell subpopulations.
引用
收藏
页码：411 / 420
页数：9
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