MetaTiME integrates single-cell gene expression to characterize the meta-components of the tumor immune microenvironment

Recent advances in single-cell RNA sequencing have shown heterogeneous cell types and gene expression states in the non-cancerous cells in tumors. The integration of multiple scRNA-seq datasets across tumors can indicate common cell types and states in the tumor microenvironment (TME). We develop a...

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Detalles Bibliográficos
Autores principales: Zhang, Yi, Xiang, Guanjue, Jiang, Alva Yijia, Lynch, Allen, Zeng, Zexian, Wang, Chenfei, Zhang, Wubing, Fan, Jingyu, Kang, Jiajinlong, Gu, Shengqing Stan, Wan, Changxin, Zhang, Boning, Liu, X. Shirley, Brown, Myles, Meyer, Clifford A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164163/
https://www.ncbi.nlm.nih.gov/pubmed/37149682
http://dx.doi.org/10.1038/s41467-023-38333-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164163/
https://www.ncbi.nlm.nih.gov/pubmed/37149682
http://dx.doi.org/10.1038/s41467-023-38333-8

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