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SCC: an accurate imputation method for scRNA-seq dropouts based on a mixture model
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) enables the possibility of many in-depth transcriptomic analyses at a single-cell resolution. It’s already widely used for exploring the dynamic development process of life, studying the gene regulation mechanism, and discovering new cell types. How...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7788948/ https://ncbi.nlm.nih.gov/pubmed/33407064 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03878-8 |
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