RCA2: a scalable supervised clustering algorithm that reduces batch effects in scRNA-seq data

The transcriptomic diversity of cell types in the human body can be analysed in unprecedented detail using single cell (SC) technologies. Unsupervised clustering of SC transcriptomes, which is the default technique for defining cell types, is prone to group cells by technical, rather than biological...

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Detalles Bibliográficos
Autores principales: Schmidt, Florian, Ranjan, Bobby, Lin, Quy Xiao Xuan, Krishnan, Vaidehi, Joanito, Ignasius, Honardoost, Mohammad Amin, Nawaz, Zahid, Venkatesh, Prasanna Nori, Tan, Joanna, Rayan, Nirmala Arul, Ong, Sin Tiong, Prabhakar, Shyam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344557/
https://www.ncbi.nlm.nih.gov/pubmed/34320202
http://dx.doi.org/10.1093/nar/gkab632

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344557/
https://www.ncbi.nlm.nih.gov/pubmed/34320202
http://dx.doi.org/10.1093/nar/gkab632

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