RESCUE: imputing dropout events in single-cell RNA-sequencing data

BACKGROUND: Single-cell RNA-sequencing technologies provide a powerful tool for systematic dissection of cellular heterogeneity. However, the prevalence of dropout events imposes complications during data analysis and, despite numerous efforts from the community, this challenge has yet to be solved....

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Detalles Bibliográficos
Autores principales: Tracy, Sam, Yuan, Guo-Cheng, Dries, Ruben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6624880/
https://www.ncbi.nlm.nih.gov/pubmed/31299886
http://dx.doi.org/10.1186/s12859-019-2977-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6624880/
https://www.ncbi.nlm.nih.gov/pubmed/31299886
http://dx.doi.org/10.1186/s12859-019-2977-0

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