CIDER: an interpretable meta-clustering framework for single-cell RNA-seq data integration and evaluation

Clustering of joint single-cell RNA-Seq (scRNA-Seq) data is often challenged by confounding factors, such as batch effects and biologically relevant variability. Existing batch effect removal methods typically require strong assumptions on the composition of cell populations being near identical acr...

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Detalles Bibliográficos
Autores principales: Hu, Zhiyuan, Ahmed, Ahmed A., Yau, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667531/
https://www.ncbi.nlm.nih.gov/pubmed/34903266
http://dx.doi.org/10.1186/s13059-021-02561-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667531/
https://www.ncbi.nlm.nih.gov/pubmed/34903266
http://dx.doi.org/10.1186/s13059-021-02561-2

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