A Bayesian factorization method to recover single-cell RNA sequencing data

Single-cell RNA sequencing (scRNA-seq) offers opportunities to study gene expression of tens of thousands of single cells simultaneously, to investigate cell-to-cell variation, and to reconstruct cell-type-specific gene regulatory networks. Recovering dropout events in a sparse gene expression matri...

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Detalles Bibliográficos
Autores principales: Wen, Zi-Hang, Langsam, Jeremy L., Zhang, Lu, Shen, Wenjun, Zhou, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017157/
https://www.ncbi.nlm.nih.gov/pubmed/35474868
http://dx.doi.org/10.1016/j.crmeth.2021.100133

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017157/
https://www.ncbi.nlm.nih.gov/pubmed/35474868
http://dx.doi.org/10.1016/j.crmeth.2021.100133

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