Nature Communications (Apr 2019)

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

  • Zhe Sun,
  • Li Chen,
  • Hongyi Xin,
  • Yale Jiang,
  • Qianhui Huang,
  • Anthony R. Cillo,
  • Tracy Tabib,
  • Jay K. Kolls,
  • Tullia C. Bruno,
  • Robert Lafyatis,
  • Dario A. A. Vignali,
  • Kong Chen,
  • Ying Ding,
  • Ming Hu,
  • Wei Chen

DOI
https://doi.org/10.1038/s41467-019-09639-3
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 10

Abstract

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With the development of large scale single cell RNA-seq technology, population-scale scRNA-seq studies are emerging. Here, the authors develop BAMM-SC, a tool for clustering droplet-based scRNA-seq data from multiple individuals simultaneously.