EnDecon: cell type deconvolution of spatially resolved transcriptomics data via ensemble learning

MOTIVATION: Spatially resolved gene expression profiles are the key to exploring the cell type spatial distributions and understanding the architecture of tissues. Many spatially resolved transcriptomics (SRT) techniques do not provide single-cell resolutions, but they measure gene expression profil...

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Detalles Bibliográficos
Autores principales: Tu, Jia-Juan, Li, Hui-Sheng, Yan, Hong, Zhang, Xiao-Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825263/
https://www.ncbi.nlm.nih.gov/pubmed/36610709
http://dx.doi.org/10.1093/bioinformatics/btac825

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825263/
https://www.ncbi.nlm.nih.gov/pubmed/36610709
http://dx.doi.org/10.1093/bioinformatics/btac825

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