CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomic data

Deciphering the cellular composition in genome-wide spatially resolved transcriptomic data is a critical task to clarify the spatial context of cells in a tissue. In this study, we developed a method, CellDART, which estimates the spatial distribution of cells defined by single-cell level data using...

Descripción completa

Detalles Bibliográficos
Autores principales: Bae, Sungwoo, Na, Kwon Joong, Koh, Jaemoon, Lee, Dong Soo, Choi, Hongyoon, Kim, Young Tae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177989/
https://www.ncbi.nlm.nih.gov/pubmed/35191503
http://dx.doi.org/10.1093/nar/gkac084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177989/
https://www.ncbi.nlm.nih.gov/pubmed/35191503
http://dx.doi.org/10.1093/nar/gkac084

Ejemplares similares