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False signals induced by single-cell imputation
Background: Single-cell RNA-seq is a powerful tool for measuring gene expression at the resolution of individual cells. A challenge in the analysis of this data is the large amount of zero values, representing either missing data or no expression. Several imputation approaches have been proposed to...
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| Publicado en: | F1000Res |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
F1000 Research Limited
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6415334/ https://ncbi.nlm.nih.gov/pubmed/30906525 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.16613.2 |
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