Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics

Rapid advances in spatial transcriptomics (ST) have revolutionized the interrogation of spatial heterogeneity and increase the demand for comprehensive methods to effectively characterize spatial domains. As a prerequisite for ST data analysis, spatial domain characterization is a crucial step for d...

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Detalles Bibliográficos
Autores principales: Li, Zhen, Chen, Xiaoyang, Zhang, Xuegong, Jiang, Rui, Chen, Shengquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2023
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691543/
https://www.ncbi.nlm.nih.gov/pubmed/37903634
http://dx.doi.org/10.1101/gr.277891.123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691543/
https://www.ncbi.nlm.nih.gov/pubmed/37903634
http://dx.doi.org/10.1101/gr.277891.123

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