scmap: projection of single-cell RNA -seq data across data sets
scmap: projection of single-cell RNA -seq data across data sets
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DOI：
10.1038/nmeth.4644
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发表时间：
2018-05-01
期刊：
影响因子：
48
通讯作者：
Hemberg, Martin
中科院分区：
文献类型：
--
作者：
Kiselev, Vladimir Yu;Yiu, Andrew;Hemberg, Martin
单细胞RNA-seq（scRNA-seq）允许研究人员根据转录组的无监督聚类来定义细胞类型。然而，实验方法和计算分析的差异使得比较实验数据具有挑战性。在这里，我们提出了scmap（http：//bioconductor. org/packages/scmap;网络版http：//www.sanger.ac.uk/science/tools/scmap），一种用于将来自scRNA-seq数据集的细胞投射到来自其他实验的细胞类型或单个细胞上的方法。
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.