Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning

Spatially resolved transcriptomics (SRT) technology enables us to gain novel insights into tissue architecture and cell development, especially in tumors. However, lacking computational exploitation of biological contexts and multi-view features severely hinders the elucidation of tissue heterogenei...

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Detalles Bibliográficos
Autores principales: Zuo, Chunman, Zhang, Yijian, Cao, Chen, Feng, Jinwang, Jiao, Mingqi, Chen, Luonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551038/
https://www.ncbi.nlm.nih.gov/pubmed/36216831
http://dx.doi.org/10.1038/s41467-022-33619-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551038/
https://www.ncbi.nlm.nih.gov/pubmed/36216831
http://dx.doi.org/10.1038/s41467-022-33619-9

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