scmap: projection of single-cell RNA -seq data across data sets

被引:464
作者
Kiselev, Vladimir Yu [1 ]
Yiu, Andrew [1 ]
Hemberg, Martin [1 ]
机构
[1] Wellcome Sanger Inst, Hinxton, England
基金
英国惠康基金;
关键词
EXPRESSION; MOUSE;
D O I
10.1038/nmeth.4644
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Single-cell RNA-seq (scRNA-seq) allows researchers to define cell types on the basis of unsupervised clustering of the transcriptome. However, differences in experimental methods and computational analyses make it challenging to compare data across experiments. Here we present scmap (http://bioconductor. org/packages/scmap; web version at http://www.sanger.ac.uk/science/tools/scmap), a method for projecting cells from an scRNA-seq data set onto cell types or individual cells from other experiments.
引用
收藏
页码:359 / +
页数:6
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