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SIMPLEs: a single-cell RNA sequencing imputation strategy preserving gene modules and cell clusters variation
A main challenge in analyzing single-cell RNA sequencing (scRNA-seq) data is to reduce technical variations yet retain cell heterogeneity. Due to low mRNAs content per cell and molecule losses during the experiment (called ‘dropout’), the gene expression matrix has a substantial amount of zero read...
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| Publicado no: | NAR Genom Bioinform |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7526005/ https://ncbi.nlm.nih.gov/pubmed/33029585 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nargab/lqaa077 |
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