SCIBER: a simple method for removing batch effects from single-cell RNA-sequencing data

MOTIVATION: Integrative analysis of multiple single-cell RNA-sequencing datasets allows for more comprehensive characterizations of cell types, but systematic technical differences between datasets, known as ‘batch effects’, need to be removed before integration to avoid misleading interpretation of...

Descripción completa

Detalles Bibliográficos
Autores principales: Gan, Dailin, Li, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848058/
https://www.ncbi.nlm.nih.gov/pubmed/36548380
http://dx.doi.org/10.1093/bioinformatics/btac819

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848058/
https://www.ncbi.nlm.nih.gov/pubmed/36548380
http://dx.doi.org/10.1093/bioinformatics/btac819

Ejemplares similares