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

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 clust...

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Detalles Bibliográficos
Autores principales: Sun, Zhe, Chen, Li, Xin, Hongyi, Jiang, Yale, Huang, Qianhui, Cillo, Anthony R., Tabib, Tracy, Kolls, Jay K., Bruno, Tullia C., Lafyatis, Robert, Vignali, Dario A. A., Chen, Kong, Ding, Ying, Hu, Ming, Chen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456731/
https://www.ncbi.nlm.nih.gov/pubmed/30967541
http://dx.doi.org/10.1038/s41467-019-09639-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456731/
https://www.ncbi.nlm.nih.gov/pubmed/30967541
http://dx.doi.org/10.1038/s41467-019-09639-3

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