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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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Detalles Bibliográficos
Autores principales:	Hu, Zhirui, Zu, Songpeng, Liu, Jun S
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2020
Materias:	Methods Article
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

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