Seurat是一个老牌的单细胞分析工具了（satija的力作），我之前测试过，但是没怎么用。

最近发现这个工具又publish在了NBT上，所以很有必要看一下这篇文章。

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

主要目的：identifying subpopulations of cells that are present across multiple data sets

主要就是为了多样品之间的比较，甚至不同物种间的对比。

Overview of Seurat alignment workflow
We aimed to develop a diverse integration strategy that could compare scRNA-seq data sets across different conditions, technologies, or species.

Identifying shared correlation structures across data sets

Machine-learning techniques for ‘data fusion’ aim to integrate information from multiple experiments into a consistent representation.

待续~