Seurat是一個老牌的單細胞分析工具了（satija的力作），我之前測試過，但是沒怎么用。
最近發現這個工具又publish在了NBT上，所以很有必要看一下這篇文章。
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
主要就是為了多樣品之間的比較，甚至不同物種間的對比。
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.
待續~