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Imputing single-cell RNA-seq data by considering cell heterogeneity and prior expression of dropouts
Single-cell RNA sequencing (scRNA-seq) provides a powerful tool to determine expression patterns of thousands of individual cells. However, the analysis of scRNA-seq data remains a computational challenge due to the high technical noise such as the presence of dropout events that lead to a large pro...
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| I publikationen: | J Mol Cell Biol |
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| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Oxford University Press
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8035992/ https://ncbi.nlm.nih.gov/pubmed/33002136 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jmcb/mjaa052 |
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