Integration of single cell data by disentangled representation learning

Recent developments of single cell RNA-sequencing technologies lead to the exponential growth of single cell sequencing datasets across different conditions. Combining these datasets helps to better understand cellular identity and function. However, it is challenging to integrate different datasets...

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Detalles Bibliográficos
Autores principales: Guo, Tiantian, Chen, Yang, Shi, Minglei, Li, Xiangyu, Zhang, Michael Q
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788944/
https://www.ncbi.nlm.nih.gov/pubmed/34850092
http://dx.doi.org/10.1093/nar/gkab978

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788944/
https://www.ncbi.nlm.nih.gov/pubmed/34850092
http://dx.doi.org/10.1093/nar/gkab978

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