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~