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RESCUE: imputing dropout events in single-cell RNA-sequencing data
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 solved....
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| Publicado en: | BMC Bioinformatics |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6624880/ https://ncbi.nlm.nih.gov/pubmed/31299886 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2977-0 |
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