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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526005/ https://www.ncbi.nlm.nih.gov/pubmed/33029585 http://dx.doi.org/10.1093/nargab/lqaa077 |