MISC: missing imputation for single-cell RNA sequencing data

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) technology provides an effective way to study cell heterogeneity. However, due to the low capture efficiency and stochastic gene expression, scRNA-seq data often contains a high percentage of missing values. It has been showed that the missing rate...

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Detalles Bibliográficos
Autores principales: Yang, Mary Qu, Weissman, Sherman M., Yang, William, Zhang, Jialing, Canaann, Allon, Guan, Renchu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293493/
https://www.ncbi.nlm.nih.gov/pubmed/30547798
http://dx.doi.org/10.1186/s12918-018-0638-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293493/
https://www.ncbi.nlm.nih.gov/pubmed/30547798
http://dx.doi.org/10.1186/s12918-018-0638-y

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