Hidden Markov random field models for cell-type assignment of spatially resolved transcriptomics

MOTIVATION: The recent development of spatially resolved transcriptomics (SRT) technologies has facilitated research on gene expression in the spatial context. Annotating cell types is one crucial step for downstream analysis. However, many existing algorithms use an unsupervised strategy to assign...

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Detalles Bibliográficos
Autores principales: Zhong, Cheng, Tian, Tian, Wei, Zhi
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/PMC10640398/
https://www.ncbi.nlm.nih.gov/pubmed/37944045
http://dx.doi.org/10.1093/bioinformatics/btad641

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640398/
https://www.ncbi.nlm.nih.gov/pubmed/37944045
http://dx.doi.org/10.1093/bioinformatics/btad641

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