Single-cell assignment using multiple-adversarial domain adaptation network with large-scale references

The rapid accumulation of single-cell RNA-seq data has provided rich resources to characterize various human cell populations. However, achieving accurate cell-type annotation using public references presents challenges due to inconsistent annotations, batch effects, and rare cell types. Here, we in...

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Detalles Bibliográficos
Autores principales: Ren, Pengfei, Shi, Xiaoying, Yu, Zhiguang, Dong, Xin, Ding, Xuanxin, Wang, Jin, Sun, Liangdong, Yan, Yilv, Hu, Junjie, Zhang, Peng, Chen, Qianming, Zhang, Jing, Li, Taiwen, Wang, Chenfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545911/
https://www.ncbi.nlm.nih.gov/pubmed/37751689
http://dx.doi.org/10.1016/j.crmeth.2023.100577

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545911/
https://www.ncbi.nlm.nih.gov/pubmed/37751689
http://dx.doi.org/10.1016/j.crmeth.2023.100577

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