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RESCUE: imputing dropout events in single-cell RNA-sequencing data
Abstract Background Single-cell RNA-sequencing technologies provide a powerful tool for systematic dissection of cellular heterogeneity. However, the prevalence of dropout events imposes complications during data analysis and, despite numerous efforts from the community, this challenge has yet to be...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2019-07-01
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| Colecção: | BMC Bioinformatics |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1186/s12859-019-2977-0 |
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