stVAE deconvolves cell-type composition in large-scale cellular resolution spatial transcriptomics

MOTIVATION: Recent rapid developments in spatial transcriptomic techniques at cellular resolution have gained increasing attention. However, the unique characteristics of large-scale cellular resolution spatial transcriptomic datasets, such as the limited number of transcripts captured per spot and...

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Detalles Bibliográficos
Autores principales: Li, Chen, Chan, Ting-Fung, Yang, Can, Lin, Zhixiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612402/
https://www.ncbi.nlm.nih.gov/pubmed/37862237
http://dx.doi.org/10.1093/bioinformatics/btad642

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612402/
https://www.ncbi.nlm.nih.gov/pubmed/37862237
http://dx.doi.org/10.1093/bioinformatics/btad642

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