VPAC: Variational projection for accurate clustering of single-cell transcriptomic data

BACKGROUND: Single-cell RNA-sequencing (scRNA-seq) technologies have advanced rapidly in recent years and enabled the quantitative characterization at a microscopic resolution. With the exponential growth of the number of cells profiled in individual scRNA-seq experiments, the demand for identifying...

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Detalles Bibliográficos
Autores principales: Chen, Shengquan, Hua, Kui, Cui, Hongfei, Jiang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509870/
https://www.ncbi.nlm.nih.gov/pubmed/31074382
http://dx.doi.org/10.1186/s12859-019-2742-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509870/
https://www.ncbi.nlm.nih.gov/pubmed/31074382
http://dx.doi.org/10.1186/s12859-019-2742-4

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