A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies
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.
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Nature Portfolio
2019
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oai:doaj.org-article:52d49e5908374e5ea58127ece365e62a2021-12-02T14:38:42ZA Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies10.1038/s41467-019-09639-32041-1723https://doaj.org/article/52d49e5908374e5ea58127ece365e62a2019-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09639-3https://doaj.org/toc/2041-1723With 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.Zhe SunLi ChenHongyi XinYale JiangQianhui HuangAnthony R. CilloTracy TabibJay K. KollsTullia C. BrunoRobert LafyatisDario A. A. VignaliKong ChenYing DingMing HuWei ChenNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019) |
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Science Q 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 A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies |
description |
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. |
format |
article |
author |
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 |
author_facet |
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 |
author_sort |
Zhe Sun |
title |
A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies |
title_short |
A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies |
title_full |
A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies |
title_fullStr |
A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies |
title_full_unstemmed |
A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies |
title_sort |
bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies |
publisher |
Nature Portfolio |
publishDate |
2019 |
url |
https://doaj.org/article/52d49e5908374e5ea58127ece365e62a |
work_keys_str_mv |
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1718390893482868736 |