A model-based constrained deep learning clustering approach for spatially resolved single-cell data

Spatially resolved scRNA-seq (sp-scRNA-seq) technologies provide the potential to comprehensively profile gene expression patterns in tissue context. However, the development of computational methods lags behind the advances in these technologies, which limits the fulfillment of their potential. In...

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Detalles Bibliográficos
Autores principales: Lin, Xiang, Gao, Le, Whitener, Nathan, Ahmed, Ashley, Wei, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2022
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712636/
https://www.ncbi.nlm.nih.gov/pubmed/36198490
http://dx.doi.org/10.1101/gr.276477.121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712636/
https://www.ncbi.nlm.nih.gov/pubmed/36198490
http://dx.doi.org/10.1101/gr.276477.121

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