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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| 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 |