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BAMM-SC: A Bayesian mixture model for clustering droplet-based single cell transcriptomic data from population studies

2018-08-16

Abstract excerpt

The recently developed droplet-based single cell transcriptome sequencing (scRNA-seq) technology makes it feasible to perform a population-scale scRNA-seq study, in which the transcriptome is measured for tens of thousands of single cells from multiple individuals. Despite the advances of many clustering methods, there are few tailored methods for population-scale scRNA-seq studies. Here, we have developed a B Ay...

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Literature Corpus work
3b573aa5-666f-5c87-989e-e5629392050f
DOI
10.1101/392662
Open publication

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BAMM-SC: A Bayesian mixture model for clustering droplet-based single cell transcriptomic data from population studiesDOI 10.1101/392662
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