这可能是我见过的最草率的单细胞分群了

数学意义上的细胞分群,并不能作为最终结果哦!
最近看到一个单细胞转录组文章:Published in final edited form as:
Conf Proc IEEE Eng Med Biol Soc. 2018 July ; 2018: 2378–2381. doi:10.1109/EMBC.2018.8512784.
Single-Cell Transcriptomics Reveals Heterogeneity and Drug Response of Human Colorectal Cancer Organoids
实验设计超级简单,就是:By using Drop-Seq, we captured ~1,500 tumor cells from organoids in normal condition with abundant sequencing reads detected.
然后走单细胞转录组上游分析流程,定量拿到表达量矩阵,然后 t-Distributed Stochastic Embedding (t-SNE) + Density-based spatial clustering of applications with noise (DBSCAN)
细胞聚类分群如下:
image-20200728121240800
如果仔细去评价这个分群结果,比如每个亚群的标记基因的热图,小提琴图,散点图,气泡图,就会发现,这个完全是数学层面的分群。

单细胞基础10讲

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