SSBER: removing batch effect for single-cell RNA sequencing data

BACKGROUND: With the continuous maturity of sequencing technology, different laboratories or different sequencing platforms have generated a large amount of single-cell transcriptome sequencing data for the same or different tissues. Due to batch effects and high dimensions of scRNA data, downstream...

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Detalles Bibliográficos
Autores principales: Zhang, Yin, Wang, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120905/
https://www.ncbi.nlm.nih.gov/pubmed/33990189
http://dx.doi.org/10.1186/s12859-021-04165-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120905/
https://www.ncbi.nlm.nih.gov/pubmed/33990189
http://dx.doi.org/10.1186/s12859-021-04165-w

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