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

Autor: 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
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Nature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-019-09639-3
Popis: 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.
Databáze: Directory of Open Access Journals