A Bayesian framework for inter-cellular information sharing improves dscRNA-seq quantification

MOTIVATION: Droplet-based single-cell RNA-seq (dscRNA-seq) data are being generated at an unprecedented pace, and the accurate estimation of gene-level abundances for each cell is a crucial first step in most dscRNA-seq analyses. When pre-processing the raw dscRNA-seq data to generate a count matrix...

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Detalles Bibliográficos
Autores principales: Srivastava, Avi, Malik, Laraib, Sarkar, Hirak, Patro, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Macromolecular Sequence, Structure, and Function
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355277/
https://www.ncbi.nlm.nih.gov/pubmed/32657394
http://dx.doi.org/10.1093/bioinformatics/btaa450

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355277/
https://www.ncbi.nlm.nih.gov/pubmed/32657394
http://dx.doi.org/10.1093/bioinformatics/btaa450

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